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CURRICULUM VITAE AND RESEARCH WORK of CONSTANTINOS S. PATTICHIS January 2008

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CURRICULUM VITAE AND RESEARCH WORK

of

CONSTANTINOS S. PATTICHIS January 2008

Resumé of Constantinos S. Pattichis 1

Executive Summary

I. General Information Diploma of Technician Engineer in Electrical Eng., HTI, Cyprus, 1979 B.Sc. in Electrical Eng., University of New Brunswick, Canada, 1983. M.Sc. in Biomedical Eng., University of Texas at Austin, USA, 1984. M.Sc. in Neurology, University of Newcastle Upon Tyne, UK, 1991. Ph.D. in Electronic Eng., QMW, University of London, UK, 1992. Research interests: computational intelligence in medical systems; medical image analysis

systems: ultrasound, endoscopy, microscopy; biosignal analysis systems: electromyography; and m-Health e-Emergency systems.

University of Cyprus, Department of Computer Science, Professor, since November 2007, Associate Professor, June 2001-October 2007, Assistant Professor, September 1996-May 2001; Lecturer, September 1993-August 1996; Research Associate, September 1992-August 1993.

University of New Mexico, Department of Electrical and Computer Engineering, Visiting Assistant Professor, September 2000 – December 2001 (on sabbatical leave from the University of Cyprus).

Cyprus Institute of Neurology and Genetics (CING), Department of Computational Intelligence, Senior Scientist since 1992. First employee, played an instrumental role to the Institute's growth and international reputation.

Marie Curie Fellowship, awarded in 1994 through the European Union on the topic of Image Processing in Histopathology.

II. Publications

47 journal publications; 17 papers published in IEEE TBE, TITB, TMI, TNN and IEEE Magazines. 7 papers published in special issues on Neural Networks, Medical Imaging, and eHealth Applications.

18 book contributions. Co-Editor of the book M-Health: Emerging Mobile Health Systems, Springer, USA,

2006. Guest Co-Editor of the Special Issue On Emerging Health Telematics Applications in

Europe of the IEEE Transactions on Information Technology in Biomedicine and of the Special Issue on Intelligent Data Analysis on Electromyography and Electroneurography of the Medical Engineering & Physics.

12 conference proceedings editorial, including DSP93, DSP95, MEDICON98, IEEE MELECON2000, and ITAB06.

122 conference papers published in refereed conference proceedings of IEEE EMBS, IEEE INNS, IEE, and other.

Work cited extensively in international publications (close to 400 citations are given). One of the papers on e-Health, that is published in Biomedical Engineering Online, is the most accessed paper in the journal with the number of hits close to 20000.

III. Research Grants

Working in the area of computational intelligence in medical systems in the development and deployment of medical imaging and biosignal analysis systems for the last 15 years.

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Worked extensively on the development of integrated systems in medical imaging for the processing and analysis of ultrasound images of the carotid, endoscopy images in gyanaecological cancer of the endometrium, and breast cancer biopsies. A modular neural network mutli feature/multi classifier diagnostic system including image normalisation, despeckle filtering, plaque segmentation, texture and morphological feature extraction, and neural network classification has been developed for differentiating between asymptomatic and symptomatic plaques in ultrasound imaging of the carotid for the assessment of the risk of stroke. The image normalization and feature extraction modules of this system are in pilot use in several centres in North America and Europe. Furthermore, a standardised protocol for the analysis of endoscopy images in gynaecological cancer has been proposed enabling the differentiation between normal and abnormal endometrium tissue. Given that there is no standardised methodology for the interpretation of endoscopy images in gynaecology; our proposed standardised protocol is at presently discussed for consideration by the European Society for Gynaecological Endosopy (ESGE) and the European Academy of Gynaecological Cancer (EAGC). Also, a modular neural network architecture has been proposed for computing automatically the histopathological score in breast cancer biopsies immunohistochemically stained.

Has been one of the main institutors in the development of a new quantitative technique in clinical electromyography that has already been produced commercially in the United States by Cadwell Labs.

Research work on e-Health systems, focuses on mobile health systems in emergency telematics, including the wireless transmission of biosignals and video based on error resilient techniques included in recent video standards like H.264/AVC (MPEG4-Part 10). Estimated funds managed: 4,635,548 Euro (5,988,582 USD).

IV. Dissertation/Theses Supervision

7 Ph.D. and 21 M.Sc. students completed their studies. Currently, supervises a research team of 4 Ph.D. and 5 M.Sc. students.

V. Teaching Experience

Graduate courses developed and taught: Data Mining, Artificial Intelligence (computational intelligence component), and Digital Video Processing.

Undergraduate courses developed and taught: Image Processing, Computational Learning Systems, Microprocessor Systems, Computer Organization and Assembly Language Programming, and Digital Systems.

VI. Administrative Experience

Elected Vice-Chairperson of the Department of Computer Science, University of Cyprus, Nov. 2006 – Nov. 2008; Co-ordinator of the Undergraduate Program Committee, Department of Computer Science (since 2003).

Chairperson of the Ad-hoc Senate Committee on Encouraging Students to be More Active in Social Matters (2006 – 2007); Chairperson of the Senate Committee on Information Systems (2003 – 2004).

Elected Memebr of the Board of the School of Pure and Applied Sciences (2003-2006).

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VII. Professional Activities Conference Co-chair of IEEE Information Technology Applications in Biomedicine, ITAB

2009. Conference Program Co-chair of IEEE Information Technology Applications in

Biomedicine, ITAB 2006. Conference Co-chair of: Melecon 2000, IEEE Region 8 Mediterranean Conference on

Information Technology and Electrotechnology, 2000; Medicon 1998: Mediterranean Conference on Medical and Biological Engineering and Computing, 1998; DSP95 and DSP&CAES93: International Conference on Digital Signal Processing, 1995 and 1993. All conferences were co-organised and co-sponsored by the University of Cyprus and the IEEE.

Associate editor for: IEEE Transactions on Information Technology in Biomedicine (since 2000-2007), and IEEE Transactions on Neural Networks (2005-2007).

Guest Co-editror of one published, and two forthcoming Special Issues of the IEEE Transactions on Information Technology in Biomedicine.

Reviewer for: IEEE Transactions on Biomedical Engineering, Image Processing, Signal Processing, and Engineering in Medicine & Biology Magazine; Medical and Biological Engineering and Computing; Journal of Intelligent Systems; IEEE EMBS, INNS, ICIP and ICASSP conferences and other.

Professional Societies Activities: Senior member of the IEEE (elected in 1999). Served as President of the IEEE Cyprus Section 1998-2000, and the Cyprus Association of Medical Physics and Biomedical Engineering (CAMPBE) 1996-1998.

VIII. Invited Seminars and Presentations

Invited seminars and presentations on the topics of Intelligent Systems on Biosignal Analysis and Medical Imaging, and eEmergency Mobile Health Systems were given to numerous international conferences, Universities (Texas at Austin, Columbia, New Mexico, Torino, Groningen), and industry (Medelec Ltd, UK, and Cadwell Labs, USA).

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TABLE OF CONTENTS I. GENERAL INFORMATION I.1 Personal Data ................................................................................................................................... 6 I.2 Research Interests ........................................................................................................................... 6 I.3 Education ......................................................................................................................................... 6 I.4 Honours/Awards ............................................................................................................................. 7 I.5 Professional Experience ................................................................................................................. 7 II. PUBLICATIONS Summary numbers ...................................................................................................................................... 9 II.1 Archived Journal Papers .....................................................................................................................9 II.2 Invited Book Contributions .............................................................................................................13 II.3 Editorial of Books .............................................................................................................................15 II.4 Editorial of Sections in Books.......................................................................................................... 16 II.5 Editorial of Journal Special Issues ................................................................................................... 16 II.6 Editorial of Conference Proceedings ............................................................................................... 16 II.7 Papers Published in Refereed Conference Proceedings .................................................................. 17 II.8 Refereed Abstracts Published .......................................................................................................... 29 III. RESEARCH GRANTS Summary numbers .....................................................................................................................................33 III.1 Ongoing Research Projects ...............................................................................................................33 III.2 Completed Research Projects for the period 2001- 2006................................................................ 35 III.3 Completed Research Projects for the period 1996-2000 ................................................................ 36 III.4 Completed Research Projects for the period 1986-1995................................................................. 39 IV. DISSERTATION/THESES SUPERVISION Summary numbers .................................................................................................................................... 41 IV.1 PhD Dissertations ............................................................................................................................ 41 IV.2 MSc Theses ..................................................................................................................................... 42 IV.3 Undergraduate Diploma Projects .................................................................................................... 44 V. TEACHING EXPERIENCE V.1 Courses Taught ................................................................................................................................ 45 V.2 Short Courses Taught ..................................................................................................................... 46 V.3 Student Evaluations ........................................................................................................................ 46 VI. ADMINISTRATIVE AND COMMITTEE WORK EXPERIENCE VI.1 Department Committees ................................................................................................................. 47 VI.2 School Committees ......................................................................................................................... 47 VI.3 University Committees ................................................................................................................... 47 VI.4 Other Committees ........................................................................................................................... 48

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VII. PROFESSIONAL ACTIVITIES VII.1 Conference Activities .................................................................................................................... 49 VII.2 Reviewer For ................................................................................................................................. 52 VII.3 Professional Societies Activities ..................................................................................................... 54 VII.4 Project Evaluation and Reviewing and Consulting ........................................................................ 55 VIII. INVITED SEMINARS AND PRESENTATIONS Summary numbers ................................................................................................................................... 56 IX. REFERENCES References ................................................................................................................................................ 59 APPENDIX A: RESEARCH WORK ON INTELLIGENT INFORMATION MEDICAL

SYSTEMS A.1 Computational Intelligence in Medical Systems .......................................................................... 60 A.2 Ultrasound Imaging: An Integrated System for the Assessment of the Risk of Stroke ............... 61 A.3 Endoscopy Imaging: A CAD System for the Assessment of Gynaecological Cancer ................ 62 A.4 Microscopy Imaging: Breast Cancer Biopsy image Analysis Support System (BASS) and Electron Microscopiy (EM) Muscle Imaging System ........................................................... 63 A.5 Biosignal Analysis: Electromyographic (EMG) Signal Analysis System for the Assessment of Neuromuscular Disorders ..................................................................................... 63 A.6 m-Health e-Emergency Systems .................................................................................................... 64 A. 7 Future work ................................................................................................................................... 64 APPENDIX B: SELECTED PUBLICATIONS B.1 Computational Intelligence .......................................................................................................... 67 B.2 Medical Imaging ............................................................................................................................ 84 B.3 Biosignal Analysis ...................................................................................................................... 105 APPENDIX C: SELECTED CITATIONS

Summary tables ................................................................................................................................... 116 C.1 Selected Citations for Archived Journal Papers ................................................................... 116 C.2 Selected Citations in Refereed Conference Proceedings .................................................... 130

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I. GENERAL INFORMATION I.1 Personal Data Name: Constantinos S. Pattichis Date of birth: January 30, 1959 Nationality: Cypriot Marital status: Married, three children Hobbies: Reading, Music, Philately Business address: Department of Computer Science University of Cyprus Kallipoleos 75, P.O. Box 20537, CY 1678 Nicosia, Cyprus Tel. 357-22-892697, Mobile. 357-99-680711, Fax. 357-22-892701 E-mail: [email protected] Home address: 6, Gerasimou str., Strovolos, 2040 Nicosia, Cyprus I.2 Research Interests

Computational Intelligence in Medical Systems Medical Image Analysis Systems: Ultrasound, Endoscopy, Microscopy Biosignal Analysis Systems: Eelectromyography M-Health e-Emergency Systems

I.3 Education

Doctor of Philosophy in Electronic Engineering University of London, Queen Mary and Westfield College, UK, Dissertation: Artificial Neural Networks in Clinical Electromyography Topics: Neural Networks, Signal Processing, Pattern Recognition March 1992 Master of Science in Neurology, Faculty of Medicine

Thesis: A Morphological Analysis of the Macro Motor Unit Potential University of Newcastle Upon Tyne, UK, May 1991

Master of Science in Biomedical Engineering Minor: Computer Engineering Thesis: Reliability and Accuracy of the Thermodilution and Impedance Cardiography Methods in the Measurement of Cardiac Output University of Texas at Austin, USA, December 1984

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Bachelor of Science in Electrical Engineering Major: Computer Engineering University of New Brunswick, Canada, May 1983 Diploma of Technician Engineer in Electrical Engineering

Higher Technical Institute (HTI), Cyprus, July 1979 Languages: Greek, English

I.4 Honours/Awards

Best Paper Award (co-author), 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI), Athens, Greece, 7-9 June, 2006 (conference paper C.103, and journal paper J.35)

Student's Best Paper Presentation Award (co-authored with PhD student C. Christodoulou),

International Joint Conference on Neural Networks, IJCNN'99, Washington DC, 10-16 July, 1999 (conference paper C.51, and journal paper J.24)

Marie Curie Fellowship,

International Scientific Cooperation Initiative, Commission of the European Communities Image Processing in Histopathology, 1994 Rotary International Scholarship,

University of Newcastle Upon Tyne, 1987-1988 Research Assistant Scholarship, University of Texas at Austin, 1984

Achievement of Academic Excellence, Faculty of Engineering,

University of New Brunswick, 1983 Certificate of Merit, Higher Technical Institute, 1979

I.5 Professional Experience University of Cyprus Department of Computer Science November 2007 - Professor University of Cyprus Department of Computer Science June 2001 – October 2007 Associate Professor University of New Mexico Department of Electrical and Computer Engineering September 2000 – December 2001 Visiting Assistant Professor, on sabbatical leave from the University of Cyprus

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University of Cyprus Department of Computer Science September 1996 – May 2001 Assistant Professor University of Cyprus Department of Computer Science September 1993 -August 1996 Lecturer University of Cyprus Department of Computer Science September 1992 - August 1993 Research Associate The Cyprus Institute of Neurology and Genetics (The Muscular Dystrophy Research Trust of Cyprus) Department of Computer Systems Research October 1988 - August 1992, Senior Research Scientist (full time employed) September 1992 - December 2004, Senior Scientist (collaborator) Higher Technical Institute Department of Computer Studies October 1988 - June 1992 Visiting Lecturer Intercollege Department of Computer Science September 1986 - June 1989 Visiting Lecturer University of Newcastle Upon Tyne Newcastle General Hospital Department of Clinical Neurophysiology October 1987 - September 1988 Research Assistant Muscular Dystrophy Research Trust of Cyprus Department of Clinical Neurophysiology April 1986 - September 1987 Research Associate Cyprus Pharmaceutical Organization Department of Medical Engineering January 1985 - March 1986 Service Engineer University of Texas at Austin Department of Electrical and Computer Engineering June 1984 - December 1984 Teaching Assistant

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II. PUBLICATIONS Summary numbers II.1 Archived Journal Papers ........................................................................................................................47

II.2 Invited Book Contributions....................................................................................................................18

II.3 Editorial of Books ....................................................................................................................................1

II.4 Editorial of Sections in Books .................................................................................................................1

II.5 Editorial of Journal Special Issues ..........................................................................................................4

II.6 Editorial of Conference Proceedings ....................................................................................................12

II.7 Papers Published in Refereed Conference Proceedings ..................................................................... 122

II.8 Refereed Abstracts Published ................................................................................................................36

II.1 Archived Journal Papers J.1 C.S. Pattichis, and L.E. Baker, A Comparison of the Tehrmodilution and Impedance

Cardiography Methods in the Measurement of Cardiac Output, Innovation and Technology in Biology and Medicine, Vol. 15, No. 1, pp. 114-121, 1994.

J.2 C.N. Schizas, C.S. Pattichis, S. Michaelides, Forecasting Minimum Temperature with short

time-length Data using Artificial Neural Networks, Neural Networks World, VSP, Vol. 4, No. 2, pp. 219-230, 1994.

J.3 C.N. Schizas, C.S. Pattichis, C.A. Bonsett, Medical Diagnostic Systems: A Case for Neural

Networks, Technology and Health Care, Vol. 2, pp. 1-18, 1994.

J.4 C.S. Pattichis, C.N. Schizas, G. Gabriel, Quantitative Morphological Analysis of Muscle Biopsies Using Artificial Neural Networks, Innovation and Technology in Biology and Medicine, Vol. 15, No. 5, pp. 546-556, 1994.

J.5 C.S. Pattichis, C.N. Schizas, L. Middleton, Neural Network Models in Classifying Motor Unit

Potential Parameters, IEEE Transactions on Biomedical Engineering, Vol. 42, No. 5, pp. 486-496, 1995.

J.6 C. Pattichis, C. Charalambous, L. Middleton, Efficient Training of Neural Network Models in

the Classification of Electromyographic Data, Medical & Biological Engineering & Computing, Special Issue on Electrophysiological Modeling, Vol. 33, No. 3, pp. 499-503, 1995.

J.7 C.S. Pattichis, and C.N. Schizas, Genetics-Based Machine Learning Models for the Diagnosis

of Certain Neuromuscular Disorders, IEEE Transactions on Neural Networks, Vol. 7, No. 2, pp. 427-439, 1996.

J.8 F. Schnorrenberg, C.S. Pattichis, K. Kyriacou, M. Vassiliou, C.N. Schizas, Computer-aided

Classification of Breast Cancer Nuclei, Technology and Health Care, Vol. 4, No. 2, pp. 147-161, 1996.

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J.9 C.N. Schizas, C.S. Pattichis, Learning Systems in Biosignal Analysis, Biosystems, Vol. 41, pp. 105-125, 1997.

J.10 F. Shnorrenberg, C.S. Pattichis, K.C. Kyriacou, C.N. Schizas, Computer-Aided Detection of

Breast Cancer Nuclei, IEEE Transactions on Information Technology in Biomedicine, Vol. 1, No. 2, pp. 128-140, 1997.

J.11 C.I. Christodoulou, C.S. Pattichis, W.F. Fincham, A Modular Neural Network Decision

Support System in EMG Diagnosis, Journal of Intelligent Systems, Special Issue on Computational Intelligent Diagnostic Systems in Medicine, Vol. 8, No. 12, pp. 99-143, 1998.

J.12 C.I. Christodoulou, C.S. Pattichis, Unsupervised Pattern Recognition for the Classification of

EMG Signals, IEEE Transactions on Biomedical Engineering, Vol. 46, No. 2, pp. 169-178, 1999.

J.13 C.S. Pattichis, M.S. Pattichis, Time-Scale Analysis of Motor Unit Action Potentials, IEEE

Transactions on Biomedical Engineering, Vol. 46, No. 11, pp. 1320-1329, 1999.

J.14 C.S. Pattichis, A. Elias, Autoregressive and Cepstral Analysis of Motor Unit Action Potentials, Medical Engineering & Physics, Special Issue on Intelligent Data Analysis in Electromyography and Electroneurography, Vol. 21, No. 6/7, pp. 405-419, 1999.

J.15 P.A. Panayiotou, D. Jenkins, C.S. Pattichis, F. Plimmer, Computer Assisted Valuation:

Multiple Regression Analysis in Cyprus, Journal of Tax Assessment & Administration, Vol. 4, No. 2, pp. 27-51, 1999.

J.16 P.A. Panayiotou, C.S. Pattichis, D. Jenkins, F. Plimmer, A Modular Artificial Neural Network

Valuation System, Journal of Tax Assessment & Administration, Vol. 4, No. 3, pp. 17-29, 1999.

J.17 C.S. Pattichis, I. Schofield, P. Fawcett, A Morphological Analysis of the Macro Motor Unit

Potential, Medical Engineering and Physics, Vol. 21, No. 10, pp. 673-679, 1999.

J.18 M.S. Pattichis, C.S. Pattichis, M. Avraam, A. Bovik, K. Kyriacou, AM-FM Texture Segmentation in Electron Microscopic Muscle Imaging, IEEE Transactions on Medical Imaging, Vol. 19, No. 12, pp. 1253-1258, 2000.

J.19 F. Schnorrenberg, C.S. Pattichis, K. Kyriacou, C.N. Schizas, Content-based Retrieval of

Breast Cancer Biopsy Slides, Technology and Health Care, Vol. 8, pp. 291-297, 2000.

J.20 C. Michaelides, C.S. Pattichis, G. Kleovoulou, Classification of Rainfall Variability Using Artificial Neural Networks, International Journal of Climatology, Vol. 21, pp. 1401-1414, 2001.

J.21 A. Pitsillides, G. Stylianou, C.S. Pattichis, A. Sekercioglu, T. Vassilakos, Bandwidth

Allocation for Virtual Paths (BAVP): Investigation of Performance of Classical Constrained and Genetic Algorithm Based Optimisation Techniques, Journal on Computer Communications, Special Issue On Computational Intelligence In Telecommunications Networks, Vol. 25, No. 16, pp. 1443-1453, 2002.

J.22 C.S. Pattichis, C.N. Schizas, A. Andreou, Healthcare Telematic Applications in Cyprus,

Methods of Information in Medicine, Vol. 41, pp. 376-381, 2002.

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J.23 E. Kyriacou, P. Sotiris, A. Berler, M. Neophytou, A. Bourka, A. Georgoulas, A. Anagnostaki, D. Karayiannis, C. Schizas, C. Pattichis, A. Andreou, D. Koutsouris, Multi-purpose HealthCare Telemedicine Systems with Mobile Communication Link Support, BioMedical Engineering OnLine, [online], Vol. 2, No. 7, 2003, Available at:

http://www.biomedical-engineering-online.com/start.asp. Most accessed paper with 19972 hits.

J.24 C.I. Christodoulou, C.S. Pattichis, M. Pantziaris, A. Nicolaides, Texture-Based Classification

of Atherosclerotic Carotid Plaques, IEEE Transactions on Medical Imaging, Vol. 22, No. 7, pp. 902-912, 2003.

J.25 C.I. Christodoulou, S. Michaelides, C.S. Pattichis, Multi-Feature Texture Analysis for the

Classification of Clouds in Satellite Imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 11, pp. 2662- 2668, 2003.

J.26 L. Eleftheriou, E. Zamba-Papanicolaou, M. Pantziaris, T. Kyriakides, S. Papacostas, P.

Myrianthopoulou, C.S. Pattichis, I. Iliopoulos, C. Piperidou, Click Evoked Neurogenic Vestibular Potentials (NVESTEPs): A Method of Assessing the Function of the Vestibular System, Electromyography and Clinical Neurophysiology, Vol. 43, pp. 399-408, 2003.

J.27 L. Eleftheriou, E. Zamba-Papanicolaou, M. Pantziaris, K. Kleopas, T. Kyriakides, S.

Papacostas, C.S. Pattichis, I. Iliopoulos, C. Piperidou, Neurogenic Vestibular Potentials using a Tone Pip Auditory Stimulus, Electromyography and Clinical Neurophysiology, Vol. 44, pp. 167-173, 2004.

J.28 Y. Poirazi, C. Neokleous, C.S. Pattichis, C.N. Schizas, A Neural Network Architecture

Inspired From the Modular Organization of the Cerebral Cortex, IEEE Transactions on Neural Networks, Vol. 15, No. 3, pp. 597-612, 2004.

J.29 C. Loizou, C.S. Pattichis, C. Christodoulou, R. Istepanian, M. Pantzaris, A. Nicolaides,

Comparative Evaluation of Despeckle Filtering in Ultrasound Imaging of the Carotid Artery, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 52, No. 10, pp. 1653-1669, 2005.

J.30 S. K. Kakkos, A. N. Nicolaides, E. Kyriacou, C. S. Pattichis, G. Geroulakos, Effect of

Zooming on Texture Features of Ultrasonic Images, Cardiovascular Ultrasound, [online], Vol. 4, No. 1(8), 10 pages, 2006, Available at:

http://www.cardiovascularultrasound.com/content/4/1/8.

J.31 C. Loizou, C.S. Pattichis, M. Pantzaris, T. Tyllis, A. Nicolaides, Quality Evaluation in Ultrasound Imaging of the Carotid Artery Based on Normalization and Speckle Reduction Filtering, Medical & Biological Engineering & Computing, Vol. 44, No. 8, pp. 405-413, 2006.

J.32 C. Loizou, C.S. Pattichis, M. Pantzaris, T. Tyllis, A. Nicolaides, Intima Media Segmentation

Of The Carotid Artery Bifurcation, Medical & Biological Engineering & Computing, Vol. 45, No. 1, pp. 35-49, 2007. Available at: http://www.springerlink.com/content/26l359x781871552/.

J.33 A. Jossif, C.S. Pattichis, M. Kyriakides, A. Pitsillides, E. Kyriakou, M. Dikaiakou, Selected

eHealth Applications in Cyprus from the Training Perspective, Methods of Information in Medicine, Vol. 46, No. 1, pp. 84-89, 2007.

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J.34 S.K. Kakkos, J.M. Stevens, A.N. Nicolaides, E. Kyriacou, C.S. Pattichis, G. Geroulakos, D. Thomas, Texture Analysis of Ultrasonic Images of Symptomatic Carotid Plaques Can Identify Those Plaques Associated with Ipsilateral Embolic Brain Infarction, European Journal of Vascular and Endovascular Surgery, Vol. 33, No. 4, pp. 422-429, 2007.

J.35 C.A. Nicolaou, N. Brown, C.S. Pattichis, Molecular Optimization Using Computational

Multi-Objective Methods, Current Opinion in Drug Discovery & Development, Vol. 10, No. 3, pp. 316-324, 2007.

J.36 C. Loizou, C.S. Pattichis, M. Pantzaris, T. Tyllis, A. Nicolaides, Plaque Segmentation of the

Carotid Artery Bifurcation, submitted to IEEE Transactions on Information Technology in Biomedicine, Vol. 11, No. 6, pp. 661-667, 2007.

J.37 N. Tsapatsoulis, K. Rapantzikos, C. Pattichis, An Embedded Saliency Map Estimator

Scheme: Application to Video Encoding, International Journal of Neural Systems, Vol. 17, No. 4, pp. 289-304, 2007.

J.38 M.S. Neophytou, V. Tanos, M.S. Pattichis, C.S. Pattichis, E. Kyriacou, D. Koutsouris, A

Standadised Protocol for Preprocessing and Analysis of Endoscopy Images in Gynaecological Cancer, submitted to BioMedical Engineering OnLine, Vol. 6, 2007. Available at: http://www.biomedical-engineering-online.com/content/6/1/44.

J.39 P. Kaplanis, C.S. Pattichis, L. Hadjileontiou, C. Roberts, Surface EMG Analysis on Normal

Subjects Based on Isometric Voluntary Contraction, submitted to Journal of Electromyography and Kinesiology, to be published in 2008. Available at: http://dx.doi.org/10.1016/j.jelekin.2007.03.010.

J.40 E. Kyriacou, C.S. Pattichis, M.S. Pattichis, A. Mavrommatis, S. Panagiotou, C.I.

Christodoulou, S. Kakkos, A. Nicolaides, Classification of Atherosclerotic Carotid Plaques Using Gray Level Morphological Analysis on Ultrasound images, (best conference paper award) invited in special issue of Applied Intelligence, International Journal of Applied Intelligence, to be published in 2008.

Invited Editorials1

J.41 I. Iacovides, C.S. Pattichis, C.N. Schizas, Editorial Special Issue on Emerging Health Telematics Applications in Europe, IEEE Transactions on Information Technology in Biomedicine, Vol. 2, No. 3, pp. 2-8, 1998.

J.42 C.S. Pattichis, I. Schofield, R. Merletti, P.A. Parker, L.T. Middleton, Introduction to this

Special Issue: Intelligent Data Analysis on Electromyography and Electroneurography, Medical Engineering and Physics, Vol. 21, No. 6/7, pp. 379-388, 1999.

IEEE Magazine Papers

J.43 C. Schizas, C. Pattichis, I. Schofield, P. Fawcett, L. Middleton, Artificial Neural Nets in

Computer-Aided Macro Motor Unit Potential Classification, IEEE Engineering in Medicine and Biology Magazine, Special Issue on Applications of Neural Networks, Vol. 9, pp. 31-38, 1990.

1 The invited editorial papers are review papers covering both achieved and emerging technologies, as well as a review of the papers included in the special issue.

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J.44 F.S. Schnorrenberg, N. Tsapatsoulis, C.S. Pattichis, C.N. Schizas, S. Kollias, M. Vassiliou, A. Adamou, K. Kyriacou, Improved Detection of Breast Cancer Nuclei Using Modular Neural Networks, IEEE Engineering in Medicine and Biology Magazine, Special Issue on Classifying Patterns with Neural Networks, Vol. 19, No. 1, pp. 48-63, 2000.

J.45 C.S. Pattichis, E. Kyriacou, S. Voskarides, M.S. Pattichis, R. Istepanian, C.N. Schizas,

Wireless Telemedicine Systems: An Overview, IEEE Antennas & Propagation Magazine, Vol. 44, No. 2, pp. 143-153, 2002.

J.46 E. Kyriacou, M.S. Pattichis, C.S. Pattichis, A. Panayides, A. Pitsillides, e-Emergency m-

Health Systems: Current Status and Future Directions, IEEE Antennas & Propagation Magazine, Vol. 49, No. 1, pp. 216-231, 2007.

J.47 E. Kyriacou, C. Pattichis, M. Karaolis, C. Christodoulou, C. Loizou, M. Pattichis, S. Kakkos,

A. Nikolaides, An Integrated System for the Assessment of the Risk of Stroke Based on Clinical Risk Factors and Non-Invasive Investigations and Carotid Plaque Texture Analysis, IEEE Engineering in Medicine and Biology Magazine, Special Issue on Image, Signal and Distributed Data Processing for Networked eHelath Applications, Vol. 26, No. 5, pp. 43-50, 2007.

Submitted/To be Submitted JS.1 C.I. Christodoulou, C.S. Pattichis, E. Kyriacou, M. Pantziaris, A. Nicolaides, Content-Based

Image Retrieval for Carotid Plaque Ultrasound Images, submitted to IEEE Transactions on Information Technology in Biomedicine, December 2007.

JS.2 A. Antoniades, N.W. Galwey, D. Waterworth, L. Middleton, P. Mathews, P. Muglia and C.

Pattichis, Cracking disease associated Gene-Gene interactions: A distributed complete two SNP interaction analyses framework, to be submitted to IEEE Transactions on Computational Biology and Bioinformatics, March 2008.

JS.3 E. Kyriacou, C. Pattichis, C. Christodoulou, C. Loizou, M. Pattichis, S. Kakkos, A. Nikolaides,

A Review of Ultrasound Imaging of the Carotid Artery for the Assessment of the Risk of Stroke, to be submitted to IEEE Transactions on Information Technology in Biomedicine, March 2008.

JS.4 P.A. Kaplanis, C.S. Pattichis, C. Christodoulou, T. Kyriakides, Analysis of Surface EMG

Using Second and Third - Order Statistcs for Normal and Neuromuscular Disease Subjects, to be submitted to Journal of Electromyography and Kinesiology, April 2008.

JS.5 C.S. Pattichis, M.S. Pattichis, C.I. Christodoulou, D. James, and P. Soliz, A Region of

Interest Based Screening System for the Assessment of Opacity Profusion in Chest Radiographs, to be submitted to Medical Engineering & Physics, April 2008.

II.2 Invited Book Contributions BC.1 C. Schizas, C. Pattichis and L. Middleton, Practical Applications of Neurocomputing, in

Management Technology, Control tools for the 90s, IEE Series, Peter Peregrinus Ltd, UK, pp. 57-76, 1990.

BC.2 L. Middleton, C. Pattichis, M. Fredj, C. Schizas, An Automated EMG Diagnostic System, in

EMG 92 Acquisition Recentes en Electromyographie, Ed. by J. Pouget, SOLAL editeurs, 111, rue Sainte Cécile, 13005 Marseille, pp. 110-123, 1992.

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BC.3 C. Schizas, C. Pattichis, L. Middleton, Neural Networks, Genetic Algorithms, and K-Means

Algorithm: In Search of Data Classification, in Combinations of Genetic Algorithms and Neural Networks, Ed. by D. Whitley, and D. Schaffer, IEEE Computer Society Press, pp. 201-222, 1992.

BC.4 C.S. Pattichis, C. Christodoulou, M.S. Pattichis, L.T. Middleton, MUAP Signal Processing

with Artificial Neural Networks, in Recent Advances in Clinical Neurophysiology, Ed. by J. Kimura, H. Shibasaki, Elsevier Science B.V, pp. 373-377, 1996.

BC.5 C.S. Pattichis, Health Telematics Training Network (HEALTHNET), in Health and Medical

Informatics Education in Europe, Ed. By J. Mantas, IOS Press, pp. 211-216, 2000. BC.6 C.S. Pattichis, S. Michaelides, Modeling Temperature Variability with Artificial Neural

Networks, in Technologies of Computer Control, Computer Science Series, Ed. By Y. Shalmov, A. Glaz, Scientific Proceedings of Riga Technical University, pp. 78-86, 2000.

BC.7 C.S. Pattichis, F. Schnorrenberg, C.N. Schizas, M. Pattichis, K. Kyriacou, A Modular Neural

Network System for the Analysis of Nuclei in Histopathological Sections, in Computational Intelligence Processing in Medical Diagnosis, Ed. By M. Schmitt, H.N. Teodorescu, A. Jain, A. Jain, S. Jain, L.C. Jain, Physica-Verlag, pp. 291-322, 2002.

BC.8 C. Christodoulou, C.S. Pattichis, E. Kyriacou, M.S. Pattichis, M. Pantziaris, A. Nikolaides,

Texture and Morphological Analysis of Ultrasound Images of the Carotid Plaque for the Assessment of Stroke, in Applied Medical Image Analysis Methods, Ed. by L. Costaridou, CRC Press, pp. 87-135, 2005.

BC.9 J.S. Suri, C.S. Pattichis, C. Li, J. Macione, Z. Yang, M.D. Fox, D. Wu, S. Laxminarayan,

Plaque Imaging Using Ultrasound, Magnetic Resonance and Computed Tomography: A Review, in Plaque Imaging: Pixel to Molecular Level, Ed. by J.S. Suri, C. Yuan, D.L. Wilson, S. Laxminarayan, pp. 1-25, IOS Press, 2005.

BC.10 E. Kyriacou, M.S. Pattichis, C. Christodoulou, C.S. Pattichis, S. Kakkos, M. Griffin, A.

Nikolaides, Ultrasound Imaging in the Analysis of Carotid Plaque Morphology for the Assessment of Stroke, in Plaque Imaging: Pixel to Molecular Level, Ed. by J.S. Suri, C. Yuan, D.L. Wilson, S. Laxminarayan, IOS Press, pp. 241-275, 2005.

BC.11 C.S. Pattichis, E. Kyriacou, S. Voskarides, M.S. Pattichis, R. Istepanian, C.N. Schizas,

Wireless Telemedicine Systems: An Overview, in Telemedicine in Practice, Ed. by M. Perikouri, P. Giovas, D. Papadogiannis and Associates, En Plo Publishers, Greece, pp. 149-169, 2005.

BC.12 R. Istepanian, S. Laxminarayan, C.S. Pattichis, An Overview Of Mobile E-Health Systems,

in M-Health: Emerging Mobile Health Systems, Ed. by R. Istepanian, S. Laxminarayan, C.S. Pattichis, Springer, NY, USA, pp. 3-14, 2006.

BC.13 M.S. Pattichis, S. Cai, C.S. Pattichis, R. Abdallah, An Overview of Medical Digital Video

Processing Algorithms, in M-Health: Emerging Mobile Health Systems, Ed. by R. Istepanian, S. Laxminarayan, C.S. Pattichis, Springer, NY, USA, pp. 345-363, 2006.

BC.14 P. Rodriguez, V., M.S. Pattichis, C.S. Pattichis, R. Abdallah, M.B Goens, Object-Based

Ultrasound Video Processing For Wireless Transmission In Cardiology, in M-Health: Emerging Mobile Health Systems, Ed. by R. Istepanian, S. Laxminarayan, C.S. Pattichis, Springer, NY, USA, pp. 491-506, 2006.

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BC.15 C.S. Pattichis, E. Kyriacou, C. Christodoulou, M.S. Pattichis, C. Loizou, M. Pantziaris, A.

Nicolaides, Cardiovascular Ultrasonic Imaging of Carotid Atherosclerosis, in Wiley Encyclopedia of Biomedical Engineering, Ed. by M. Akay, Wiley, 12 pages, 2006. DOI: 10.1002/9780471740360.ebs1322.

BC.16 C.S. Pattichis, F. Schnorrenberg, N. Tsapatsoulis, C.N. Schizas, M. Pattichis, K. Kyriacou, A

Biopsy Analysis Support System for the Detection and Classification of Breast Cancer Nuclei, in Emerging Technologies in Breast Imaging and its Applications, Ed. by J.S. Suri, R. Rangayan, S. Laxminarayan, American Scientific Publishers, to be published in 2007.

BC.17 C. Loizou, C.S. Pattichis, M. Pantzaris, T. Tyllis, A. Nicolaides, Quality Evaluation in

Ultrasound Imaging of the Carotid Artery, in Recent Advances in Diagnostic and Therapeutic 3-D Ultrasound Imaging for Medical Applications, Ed. by J.S. Suri, R.F. Chang, C. Kathuria, A. Fenster, Artech House, MA, USA, to be published in 2007.

BC.18 C. Loizou, C.S. Pattichis, C. Christodoulou, R. Istepanian, M. Pantzaris, A. Nicolaides,

Despeckle Filtering in Ultrasound Imaging of the Carotid Artery, in Recent Advances in Diagnostic and Therapeutic 3-D Ultrasound Imaging for Medical Applications, Ed. by J.S. Suri, R.F. Chang, C. Kathuria, A. Fenster, Artech House, MA, USA, to be published in 2007.

In Preparation BCP.1 C. Nicolaou, C.S. Pattichis, Molecular Substructure Mining Approaches for Computer-

Aided Drug Discovery: A Review, in Information Technology in Biomedicine, Ed. by D. Fotiadis, C.S. Pattichis, IEEE Press Series on Biomedical Engineering, NY, USA, to be submitted in June 2007, to be published in 2008.

BCP.2 C.S. Pattichis, E. Kyriacou, M.S. Pattichis, A. Panayides, A. Pitsillides, A review of m-

Health e-Emergency Systems, in Information Technology in Biomedicine, Ed. by D. Fotiadis, C.S. Pattichis, IEEE Press Series on Biomedical Engineering, NY, USA, to be submitted in June 2007, to be published in 2008.

II.3 Editorial of Books EB.1 M-Health: Emerging Mobile Health Systems, Ed. by R.H. Istepanian, S. Laxminarayan,

C.S. Pattichis, Springer, NY, USA, 2006. In Preparation EBP.1 Information Technology in Biomedicine, Ed. by D. Fotiadis, C.S. Pattichis, IEEE Press

Series on Biomedical Engineering, NY, USA, to be published in 2008. (This volume consists of 25 chapters organised under the following five sections: Section 1 Computational Biology, Section 2 Biosignal Analysis, Section 3 Medical Imaging, Section 4 eHealth Emerging Technologies, and Section 5 eHealth Home Monitoring Services.)

EBP.2 Atherosclerosis, Ultrasound and Cardiovascular Risk, Ed. by A. Nicolaides, C.S. Pattichis,

E. Kyriakou, Springer, NY, USA, to be published in 2009. (This volume consists of 35 chapters organised under the following four sections: Section 1 Ultrasound Image Processing and Analysis, Section 2 Early Atherosclerosis, Section 3 Late Atherosclerosis, and Section 4 Potential Clinical Applications.)

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EBP.3 Handbook of Computational Intelligence in Medical Systems, Ed. by C.S. Pattichis, M.S. Pattichis, C.N. Schizas, E. Micheli-Tzanakou, Springer, NY, USA, first proposal to be submitted in June 2008, to be published in 2010. (This volume consists of around 90 chapters organised under the following 14 sections: Section 1 Introduction to Computational Intelligence, Section 2 Biomedical Signal, Image, and Video Processing, Section 3 The Skin (Integumentary) System, Section 4 The Skeletal System, Section 5 The Muscular System, Section 6 The Central Nervous System, Section 7 The Peripheral Nervous System, Section 8 Systems of Special Senses (Eye, Ear, Taste and Smell), Section 9 The Cardiovascular System, Section 10 The Respiratory System, Section 11 The Digestive System, Section 12 The Urinary System, Section 13 The Endocrine System, and Section 14: The Reproductive System.)

II.4 Editorial of Sections in Books EBS.1 C.S. Pattichis, R. Istepanian, S. Laxminarayan, Section Editors, Introduction to Mobile E-

Health Systems, in M-Health: Emerging Mobile Health Systems, Ed. by Robert H. Istepanian, Swamy Laxminarayan, Constantinos S. Pattichis, Springer, NY, USA, 2006.

II.5 Editorial of Journal Special Issues EJS.1-2 I. Iakovides, C.S. Pattichis, C.N. Schizas, Guest Editors, Special Issue on Emerging Health

Telematics Applications in Europe, IEEE Transactions on Information Technology in Biomedicine, Vol. 2, No. 3, pp. 109-182, & Vol. 2, No. 4, pp. 217-281, 14 papers, 1998.

EJS.3-4 C.S. Pattichis, I. Schofield, R. Merletti, P.A. Parker, L.T. Middleton, Guest Editors, Special

Issue on Intelligent Data Analysis on Electromyography and Electroneurography, Medical Engineering & Physics, Vol. 21, No. 6 & 7, pp. 377-523, 13 papers, 1999.

In Preparation EJSP.1 D. Fotiadis, C.S. Pattichis, Guest Editors, Special Issue on Emerging Technologies in

Biomedical Informatics, IEEE Transactions on Information Technology in Biomedicine, papers due April 2007, to be published in 2008. (This special issue targets to provide a snapshot of emerging technologies in biomedical informatics, based on a selected number of papers and the finalists of the students paper competition presented in the Information Technology Applications in Biomedicine – ITAB 2006 conference.)

EJSP.2 C.S. Pattichis, M.S. Pattichis, C.N. Schizas, E. Micheli-Tzanakou, E. Kyriakou, D. Fotiadis, Guest Editors, Special Issue on Computational Intelligence in Medical Systems, IEEE Transactions on Information Technology in Biomedicine, papers due May 2007, to be published in 2008.

II.6 Editorial of Conference Proceedings ECP.1 C. Pattichis, Editor, Proceedings of the First Cyprus International Conference on

Computer Applications to Engineering Systems, pp. 1-333, 28 papers, Nicosia, July 1-2, 1991.

ECP.2-3 A.G. Constantinides, V. Capellini, C.S. Pattichis, C.N. Schizas, Editors, Proceedings of the

International Conference on Digital Signal Processing and Second International Conference on Computer Applications to Engineering Systems, Vol. 1 & 2, pp. 1-688, 100 papers, Nicosia, July 14-16, 1993.

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ECP.4-5 S. Spyrou, S. Christofides, C.S. Pattichis, E. Keravnou, C.N. Schizas, G. Christodoulides, Editors, Proceedings of the International Conference on Medical Physics and Biomedical Engineering, Vol. 1 & 2, pp. 1-574, 98 papers, Nicosia, May 5-7, 1994.

ECP.6-7 V. Cappellini, A.G. Constantinides, J. Cornelis, C. Cowan, F. Harary, A. Katsaggelos, S.

Kollias, S.K. Mitra, S.D. Nikolopoulos, T.Q. Nquyen, G.A. Papadopoulos, C.S. Pattichis, C.N. Schizas, A. Spanias, P.P. Vaidyanathan, A.N. Venetsanopoulos, Editors, Proceedings of the Intenrational Conference on Digital Signal Processing, Vol. 1: Special Sessions, pp. 1-421, 67 papers, Vol. 2: Regular Papers, pp. 422-967, 87 papers, Limassol, June 26-28, 1995.

ECP.8 C.S. Pattichis, S. Christofides, C.N. Schizas, Editors, CD-ROM Proceedings of the VIII

Mediterranean Conference on Medical and Biological Engineering and Computing, Medicon'98, 190 papers, 760 pages, Limassol, June 14-17, 1998.

ECP.9 C. Economides, C.S. Pattichis, G. Maliotis, M. Papaconstantinou, N. Michaelides, C.N.

Schizas, Editors, Proceedings of the IEEE Region 8-10th Meditteranean Conference on Information Technology and Electrotechnology, Vol. I: Information Technology and Communication Networks, pp. 1-440, 106 papers, Limassol, May 29-31, 2000.

ECP.10 C.S. Pattichis, S. Panis, Editors, Proceedings of the IEEE Region 8-10th Meditteranean

Conference on Information Technology and Electrotechnology, Vol. II: Signal and Image Processing, pp. 441-880, 108 papers, Limassol, May 29-31, 2000.

ECP.11 S. Christofides, G. Christodoulides, R. Demetriadou, P. Kaplanis, C.S. Pattichis, S. Spyrou,

Editors, CD-ROM Proceedings of the II EFOMP Mediterranean Conference on Medical Physics, The Analogue to Digital Migration of the Hospital Working Environment, 41 papers, Limassol, April 28-30, 2004.

ECP.12 D. Fotiadis, C.S. Pattichis, Editors, CD-ROM Proceedings of the 5th International IEEE

EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 138 papers, Ioannina, Greece, October 26-28, 2006.

II.7 Papers Published in Refereed Conference Proceedings C.1 C. Schizas, C. Pattichis, I. Schofield, P. Fawcett, L. Middleton, Artificial Neural Net

Algorithms in Classifying Electromyographic Signals, The First IEE International Conference on Artificial Neural Networks, IEE Pub. No. 313, pp. 134-138, 1989.

C.2 C. Pattichis, C. Schizas, L. Middleton, W. Fincham, Computer Aided Clinical

Electromyography, Proceedings of the 12th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, Ed. by P.C. Pedersen and B. Onaral, pp. 2229-2231, 1990.

C.3 C. Schizas, C. Pattichis, R. Livesay, I. Schofield, K. Lazarou, L. Middleton, Unsupervised

Learning in Computer Aided Macro Electromyography, in Computer-Based Medical Systems, IEEE Computer Society Press, Los Alamitos, California, USA, pp. 305-312, 1991.

C.4 C. Pattichis, C. Charalambous, C. Schizas, L. Middleton, EMG Diagnosis using the Conjugate

Gradient Backpropagation Neural Network Learning Algorithm, in Artificial Neural Networks, Vol. 2, Ed. by T. Kohonen, K. Makisava, O. Simula, and J. Kangas, Elsevier Science Publishers B.V., North-Holland, pp. 1621-1624, 1991.

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C.5 K. Panayides, C. Schizas, C. Pattichis, A. Theodosiou and L. Middleton, Genetics-Based-Machine-Learning in Clinical Electromyography, in Artificial Neural Networks, Vol. 2, Ed. by T. Kohonen, K. Makisava, O. Simula, and J. Kangas, Elsevier Science Publishers B.V., North-Holland, pp. 1625-1628, 1991.

C.6 C. Pattichis, C. Charalambous, L. Middleton, Sensitivity Analysis of Artificial Neural

Networks: Case Study in Clinical Electromyography, Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by J.H. Nagel and W.M. Smith, Vol. 13, pp. 1403-1404, 1991.

C.7 C. Schizas, C. Pattichis, R. Livesay, L. Middleton, Neural Networks is Computer Aided

Clinical Electromyography, Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by J.H. Nagel and W.M. Smith, Vol. 13, pp. 1458-1459, 1991.

C.8 C. Schizas, C. Bonsett, R. Livesay, C. Pattichis, Neural Networks: In Search of Computer

Aided Diagnosis, IEEE-INNS, International Joint Conference on Neural Networks, Singapore, pp. 1825-1830, 1991.

C.9 C. Schizas, S. Michaelides, C. Pattichis, R. Livesay, Artificial Neural Networks in Forecasting

Minimum Temperature, Second IEE International Conference on Artificial Neural Networks, Conference Publication Number 349, Bournermouth, UK, pp. 112-114, 1991.

C.10 C. Pattichis and L. Middleton, Computer Aided Clinical Electromyography, Proceedings of

the First Cyprus International Conference on Computer Applications to Engineering Systems, Ed. by C. Pattichis, Nicosia, Cyprus, July 1-2, pp. 187-203, 1991.

C.11 G. Gabriel, C. Pattichis and M. Panayiotou, Quantitative Techniques in Neuromuscular

Pathology, Proceedings of the First Cyprus International Conference on Computer Applications to Engineering Systems, Ed. by C. Pattichis, Nicosia, Cyprus, July 1-2, pp. 184-186, 1991.

C.12 A. Elias, C. Pattichis, W. Fincham, A. Spanias, L. Middleton, Autoregressive Spectral

Modeling of Motor Unit Action Potentials: Preliminary Findings, Proceedings of the 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by J.P. Morucci, R. Plonsey, J.L. Coatrieux, and S. Laxminarayan, Vol. 14, pp. 1465-1466, 1992.

C.13 C. Schizas, M. Fredj, C. Pattichis, A. Bonsett, K. Kyriallis, L. Middleton, An Integrated System

for Medical Diagnosis: Clinical Findings, Proceedings of the 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by J.P. Morucci, R. Plonsey, J.L. Coatrieux, and S. Laxminarayan, Vol. 14, pp. 1002-1003, 1992.

C.14 C. Pattichis, M. Fredj, C. Schizas, G. Gabriel, K. Panayides, A. Drousiotou, R. Livesay, L.

Middleton, An Integrated System for Medical Diagnosis: Laboratory Findings, Proceedings of the 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by J.P. Morucci, R. Plonsey, J.L. Coatrieux, and S. Laxminarayan, Vol. 14, pp. 1000-1001, 1992.

C.15 C. Pattichis and L. Baker, A Comparison of the Thermodilution and Impedance Cardiography

Methods in the Measurement of Cardiac Output, Proceedings of the 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by J.P. Morucci, R. Plonsey, J.L. Coatrieux, and S. Laxminarayan, Vol. 14, pp. 2172-2173, 1992.

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C.16 C. Schizas, C. Pattichis, L. Middleton, A New Approach to Medical Diagnosis, Proceedings of

the 1992 International Biomedical Engineering Days, Ed. by Yekta Ulgen, Turkey, Istanbul, August 18-20, pp. 207-212, 1992.

C.17 C. Schizas, C. Pattichis, A. Theodosiou, L. Middleton, Macro Electromyography: Genetics-

Based-Machine-Learning Aided Diagnosis, IEEE-INNS, International Joint Conference on Neural Networks, Beijing, China, November 3-6, pp. 360-368, 1992.

C.18 C.N. Schizas, C.S. Pattichis, L.T. Middleton, A Neural Network Based System for the

Diagnosis of Neuromuscular Disorders, Proceedings of the Second European Conference on Engineering and Medicine, Stuttgart, Germany, April 25-28, pp. 64-65, 1993.

C.19 A. Elias, C.S. Pattichis, W. Fincham, L.T. Middleton, Autoregressive Spectral Analysis of

Motor Unit Action Potentials, Proceedings of the International Conference on Digital Signal Processing and II International Conference on Computer Applications to Engineering Systems, Ed. by A.G. Constantinides, V. Cappellini, C.S. Pattichis, C.N. Schizas, Nicosia, Cyprus, July 14-16, pp. 298-303, 1993.

C.20 C.S. Pattichis, S. Spyrou, R. Constantinou, C.N. Schizas, L.T. Middleton, Bispectral Analysis

of the EMG Interference Pattern: Preliminary Findings, Proceedings of the International Conference on Digital Signal Processing and II International Conference on Computer Applications to Engineering Systems, Ed. by A.G. Constantinides, V. Cappellini, C.S. Pattichis, C.N. Schizas, Nicosia, Cyprus, July 14-16, pp. 298-303, 1993.

C.21 G. Gabriel, C.N. Schizas, C.S. Pattichis, R. Constantinou, A. Hadjianastasiou, and A.

Schizas, Quantitative Morphological Analysis of Muscle Biopsies Using Neural Networks, IEEE-INNS, International Joint Conference on Neural Networks, Nagoya, Japan, October 25-29, Vol. 1, pp. 943-948, 1993.

C.22 I. Constantinou, C.S. Pattichis, M. Gerolakkitis, C.N. Schizas, M. Cariolou, A Database

System for Thalassaemia Mutations, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by A. Y.J. Szeto, and R.M. Rangayyan, Vol. 15, San Diego, California, October 28-31, pp. 646-647, 1993.

C.23 M. Pattichis and C.S. Pattichis, Fast Wavelet Transform in Motor Unit Action Potential

Analysis, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by A. Y.J. Szeto, and R.M. Rangayyan, Vol. 15, San Diego, California, October 28-31, pp. 1225-1226, 1993.

C.24 C.S. Pattichis, R. Constantinou, S. Spyrou, C.N. Schizas, L.T. Middleton, Bispectral

Analysis of EMG at Different Levels of Force, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by A. Y.J. Szeto, and R.M. Rangayyan, Vol. 15, San Diego, Califoria, October 28-31, pp. 1223-1224, 1993.

C.25 C.S Pattichis, A.G. Constantinides, Medical Imaging with Neural Networks, Proceedings of

the 1994 IEEE Workshop on Neural Networks for Signal Processing IV, Ed. by J. Vlontzos, J.N. Hwang and E. Wilson, New York, pp. 431-440, 1994.

C.26 C.S. Pattichis C.N. Schizas, A. Sergiou, F. Schnorrenberg, A Hybrid Neural Network

Electromyographic System: Incorporating the WISARD Net, IEEE World Congress on

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Computational Intelligence, Proceedings of the 1994 IEEE International Conference on Neural Networks, June 28-July 2, Orlando, Florida, Vol. VI, pp. 3478-3483, 1994.

C.27 F. Schnorrenburg, C.S. Pattichis, K. Kyriacou, C.N. Schizas, Detection of Cell Nuclei in

Breast Biopsies Using Receptive Fields, Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by N.F. Sheppard, M. Eden, G. Kantor, pp. 649-650, 1994.

C.28 C.S. Pattichis, A. Elia, C.N. Schizas, L.T. Middleton, Classification Performance of Motor

Unit Action Potential Features, Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Ed. by N.F. Sheppard, M. Eden, G. Kantor, November 3-6, Baltimore, Maryland, pp. 1338-1339, 1994.

C.29 C.S. Pattichis, C.N. Schizas, Neural Information Processing Systems, Proceedings of

International Conference on IT Applications (ITA'95), Ed. by C. Loizou, S. Spyrou, G. Ioannou, Nicosia, June 1-2, pp. 76-90, 1995.

C.30 C. Christodoulou, C.S. Pattichis, A New Technique in The Decomposition of EMG Signals,

IEEE International Conference on Neural Networks, November 28 - December 2, Perth, Australia, Vol. 5, pp. 2303-2308, 1995.

C.31 M. Xyda, C. Pattichis, Model Based Decomposition of MUAPs into their Constituent SFEAPs:

Preliminary Findings, Proceedings of the VIII International Symposium of Motor Control, Ed. by G.N. Gantchev, U.S. Gurfinkel, D. Stuart, M. Wiesendanger, S. Mori, Sofia, Bulgaria, June 23-27, pp. 269-272, 1996.

C.32 F. Schnorrenberg, C.S. Pattichis, K. Kyriacou, C.N. Schizas, Content-based Description of

Breast Cancer Biopsy Slides, Proceedings of the 14th International EuroPACS Meeting, October 5-7, Heraklion, Crete, Hellas, pp. 136-140, 1996.

C.33 M.S. Pattichis, C.I. Christodoulou, C.S. Pattichis, A.C. Bovik, Non-stationary Texture

Segmentation Using an AM-FM Model, Proceedings of the International Conference on Neural Networks, June 9-12, Houston TX, Vol. 3, pp. 1552-1557, 1997.

C.34 N. Tsapatsoulis, F. Schnorenberg, C.S. Pattichis, S. Kollias, C.N. Schizas, A Neural Network

Assisted Algorithm for Automated Detection of Breast Cancer Nucle, Digital Signal Processing 97, July 2-4, Santorini, Hellas, 1997.

C.35 C.I. Christodoulou, C.S. Pattichis, A Neural Network Decision Support System in Biosignal

Analysis, Proceedings of the 2nd Mediterranean Conference on Information Technology Applications, November 6-7, Nicosia, pp. 44-52, 1997.

C.36 C.P. Constantinou, A.C. Kakas, S. Katsikides, G.A. Papadopoulos, C. Pattichis, A. Pitsillides

C.N. Schizas, Electronic Roads in the Information Society: Social, Educational and Technological Aspects, Proceedings of the 2nd Mediterranean Conference on Information Technology Applications, November 6-7, Nicosia, pp. 33-43, 1997.

C.37 A. Pitsillides, C. Pattichis, Y. A. Sekercioglu, and A. Vasilakos. Bandwidth allocation for

virtual paths using evolutionary programming (EP-BAVP). Proceedings of the International Conference on Telecommunications ICT'97, pages 1163--1168, Melbourne, Australia, April 1997. Monash University.

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C.38 F. Schnorrenberg, V. Tanos, C.S. Pattichis, F. Iacovou, K. Kyriacou, C.N. Schizas, Euro Mediterranean Telepathology Network: Application in Gynecological Cancer, EURO-MED NET’98 Conference, March 4-7, pp. 285-286, 1998.

C.39 F. Schnorrenberg, V. Tanos, C.S. Pattichis, F. Iacovou, K. Kyriacou, C.N. Schizas, Digital

Library Access in a Telepathology Network: Application in Gynecological Cancer, CD-ROM Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998.

C.40 M. Pattichis, C. Pattichis, M. Avraam, A. Bovik, K. Kyriacou, Non-Stationary Texture

Segmentation in Electron Microscopy Muscle Imaging using an AM-FM Model, CD-ROM Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998.

C.41 P.A. Kaplanis, C.S. Pattichis, S. Spyrou, C.V. Roberts, C. Christodoulou, Bispectrum Analysis

of Surface EMG, CD-ROM Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998.

C.42 C.I. Christodoulou, C.S. Pattichis, A Multi-feature / Multi Classifier System in EMG

Diagnosis, CD-ROM Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998.

C.43 S.P. Spyrou, C.S. Pattichis, E. Economou, V.C. Roberts, L.T. Middleton, A Computer Aided

Scanning EMG System, CD-ROM Proceedings of the VIII Mediterranean Conference on Medical and Giological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998.

C.44 M. Xyda, C.S. Pattichis, Model Based Decomposition of MUAPS into their Constituent

SFEAPS, CD-ROM Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998.

C.45 C.I. Christodoulou, C.S. Pattichis, M. Patziaris, T. Tegos, A. Nicolaides, Texture Analysis for

the Classification of Carotid Plaques, CD-ROM Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998.

C.46 A. Pitsillides, C.S. Pattichis, G. Stylianou, A. Sekercioglu, T. Vassilakos, Investigation of the

Performance of EP-BAVP (Evolutionary Prorgamming for Virtual Path Bandwidth Allocation), International Conference of Telecommunications, Ghalkidiki, Greece, pp. 310-314, 1998.

C.47 C. Pattichis, Health Telematics Training Network, CD-ROM Proceedings of the 3rd

European Conference on Health Telematics Education, June 18-20, Athens, Greece, pp. 189-194, 1998.

C.48 C. Zervos, S. Panis, D. Dionysiou, M. Dionysiou, C. Pattichis, A. Pitsillides, G. Papadopoulos,

A. Kakas, C.N. Schizas, Electronic Roads in the Information Society, Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries, Crete, Greece, pp. 689-690, 1998.

C.49 C.I. Christodoulou, C.S. Pattichis, Combining Neural Classifiers in EMG Diagnosis,

Proceedings of the 6th European Congress on Intelligent Techniques & Soft Computing, EUFIT'98, September 7-10, Aachen, Germany, Vol. 3, pp. 1837-1841, 1998.

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C.50 C.S. Pattichis, C.I. Christodoulou, L.T. Middleton, MUAP Analysis Algorithms-Recent Developments, Proceedings of the VI International Conference on Computerized and Quantitative EMG, September 23-25, Vigo, Spain, pp. 14-21, 1998.

C.51 C.I. Christodoulou, C.S. Pattichis, M. Pantziaris, T. Tegos, A. Nicolaides, T. Elatrozy, M.

Sabetai, S. Dhanjil, Multi-feature texture analysis for the classification of carotid plaques, CD-ROM Proceedings of the International Joint Conference on Neural Networks, IJCNN '99, Washington DC, 10-16 July, 1999. Student's best paper presentation award.

C.52 M.S. Pattichis, C.S. Pattichis, M. Avraam, A. Borik, K. Kyriacou, AM-FM Texture

Segmentation in Electron Microscopic Muscle Imaging, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, ICASSP99, Phoenix, USA, March 16-19, Vol. 4, pp. 2331-2334, 1999.

C.53 C.I. Christodoulou, C.S. Pattichis, Medical Diagnostic Systems using Ensembles of Neural

SOFM Classifier in Proc of the 6th IEEE International Conference on Electronics, Circuits and Systems, ICECS '99, Paphos, Cyprus, September 5-8, Vol. I, pp. 109-112, 1999.

C.54 K. Kyriacou, C. Michaelides, C. Pattichis, C. Christodoulou, Cloud Classification from

Satellite Imagery With Artificial Neural Networks, Proceeding of the 5th International Conference on Engineering Applications of Neural Networks, EANN’99, Warsaw, Poland, September 13-15, pp. 253-258, 1999.

C.55 P. Kaplanis, C. Pattichis, Bispectral Analysis of SEMG, Proceedings of the European

Medical & Biological Engineering Conference, EMBEC 99, Medical & Biological Engineering & Computing, Vol. 37, Sup. 2, Vien, Austria, November, pp. 468-469, 1999.

C.56 A. Pitsillides, G. Stylianou, C. Pattichis, A. Sekercioglu, A. Vasilakos, Bandwidth Allocation

for Virtual Paths (BAVP): Investigation of Performance of Classical Constrained and Genetic Algorithm Based Optimisation Techniques, IEEE INFOCOM 2000, Tel Aviv, March 28-30, pp. 1501-1510, 2000.

C.57 G. Fakas, A. Kakas, D. Dionisiou, M. Dionisiou, A. Kentonis, K. Pattichis, A. Pitsillides, C.

Schizas, Cultural Journeys in the Information Society, Proceedings of the IEEE Region 8-10th Meditteranean Conference on Information Technology and Electrotechnology, Vol. I: Information Technology and Communication Networks, Limassol, Cyprus, May 29-31, pp. 403-406, 2000.

C.58 P.A. Panayiotou, C.S. Pattichis, D. Jenkins, F. Plimmer. A Modular Artificial Neural Network

Valuation System. Proceedings of the IEEE Region 8-10th Meditteranean Conference on Information Technology and Electrotechnology, Vol. II: Signal and Image Processing, Limassol, Cyprus, May 29-31, pp. 457-460, 2000.

C.59 Y. Mylonas, C. Pattichis, A. Pitsillides, S. Panis, Challenges inEelectronicRroads in the

Information Society: Content-based Image Retrieval and IP DiffServ. Proceedings of the IEEE Region 8-10th Meditteranean Conference on Information Technology and Electrotechnology, Vol. II: Signal and Image Processing, Limassol, Cyprus, May 29-31, pp. 619-622, 2000.

C.60 P.A. Kaplanis, C.S. Pattichis, L.J. Hadjileontiadis, S.M. Panas. Bispectral Analysis of Surface

EMG, Proceedings of the IEEE Region 8-10th Meditteranean Conference on Information Technology and Electrotechnology, Vol. II: Signal and Image Processing, Limassol, Cyprus, May 29-31, pp. 770-773, 2000.

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C.61 P.A. Kaplanis, C.S. Pattichis, L.J. Hadjileontiadis, S.M. Panas, Analysis of Surface EMG

Using Second and Third - Order Statistcs/Spectra, IFMBE Proceedings of the MEDIterranean CONference on Medical and Biological Engineering and Computing, MEDICON 2001, Pula, Croatia, June 12-15, pp. 348-351, 2001.

C.62 C.S. Pattichis, C.I. Christodoulou, M.S. Pattichis, M. Pantziaris, A. Nicolaides, An

Integrated System for the Assessment of Ultrasonic Imaging Atherosclerotic Carotid Plaques, Proceedings of the IEEE International Conference on Image Processing, ICIP 2001, Thessaloniki, Greece, October 7-10, pp. 325-328, 2001.

C.63 C.I. Christodoulou, S.C. Michaelides, C.S. Pattichis, K. Kyriakou, Classification of Satellite

Cloud Imagery Based on MultiFeature Texture Analysis and Neural Networks, Proceedings of the IEEE International Conference on Image Processing, ICIP 2001, Thessaloniki, Greece, October 7-10, pp. 497-500, 2001.

C.64 P. Poirazi, C.C. Neocleous, C.S. Pattichis, C.N. Schizas, Biologically Inspired Neural Network

Composed of Dissimilar Single Neuron Models, CD-ROM Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Constantinoupolis, Turkey, October 25-28, 4 pages, 2001.

C.65 E. Kyriacou, S. Pavlopoulos, D. Koutsouris, A.S. Andreou, C.S. Pattichis, C.N. Schizas,

Multipurpose Health Care Telemedicine System, CD-ROM Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Constantinoupolis, Turkey, October 25-28, 4 pages, 2001.

C.66 C.S. Pattichis, M.S. Pattichis, Adaptive Neural Network Imaging in Medical Systems, CD-

ROM Proceedings of the 35th Asilomar Conference on Signals, Systems, and Computers, Vol. 1, Monterey, California, USA, November 4-7, pp. 313-317, 2001.

C.67 C.S. Pattichis, M.S. Pattichis, E. Micheli-Tzanakou, Medical imaging fusion applications: An

overview, CD-ROM Proceedings of the 35th Asilomar Conference on Signals, Systems, and Computers, Vol. 2, Monterey, California, USA, November 4-7, 5 pp. 1263-1267, 2001.

C.68 M.S. Pattichis, C.S. Pattichis, P. Soliz, Optimal Scanning, Display and Segmentation of the

International Labor Organization (ILO) X-Ray Images Set for Pneumoconiosis, Proceedings. 14th IEEE Symposium on Computer-Based Medical Systems, Washington, USA, pp. 511-515, 2001.

C.69 M.S. Pattichis, C.S. Pattichis, C.I. Christodoulou, D. James, L. Ketai, P. Soliz, A Screening

System for the Assessment of Opacity Profusion in Chest Radiographs of Miners with Pneumoconiosis, 5th IEEE Southwest Symposium on Image Analysis and Interpretation, April 7-9, Santa Fe, New Mexico, USA, pp. 130-133, 2002.

C.70 M.S. Pattichis, H. Muralidharan, C.S. Pattichis, P. Soliz, New Image Processing Models for

Opacity Image Analysis in Chest Radiographs, 5th IEEE Southwest Symposium on Image Analysis and Interpretation, April 7-9, Santa Fe, New Mexico, USA, pp. 260-264, 2002.

C.71 S. Voskarides, C.S. Pattichis, R. Istepanian, E. Kyriacou, M.S. Pattichis, C.N. Schizas,

Mobile Health Systems: A Brief Overview, Proceedings of SPIE AeroSense 2002: Digital Wireless Communications IV, Ed. by R. M. Rao, S. A. Dianat, M. D. Zoltowski, Vol. 4740, Orlando, Florida, USA, pp. 124-131, 2002.

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C.72 E. Kyriacou, S. Voskarides, C.S. Pattichis, R. Istepanian, M.S. Pattichis, C.N. Schizas, Wireless Telemedicine Systems: A Brief Overview, 4th International Workshop on Enterprise Networking and Computing in Healthcare Industry (HEALTHCOM2002), Nancy, France, June 6th and 7th, pp. 50-56, 2002.

C.73 C. Loizou, C. Christodoulou, C. S. Pattichis, R. Istepanian, M. Pantziaris, A. Nicolaides,

Speckle Reduction in Ultrasound Images of Atherosclerotic Carotid Plaque, DSP 2002. IEEE 14th International Conference on Digital Signal Processing. July 1-3 2002, Santorini-Greece, Vol. 2, pp. 525-528.

C.74 C. I. Christodoulou, C. Loizou, C. S. Pattichis, M. Pantziaris, E. Kyriakou, M. S. Pattichis,

C. N. Schizas, A. Nicolaides, De-speckle Filtering in Ultrasound Imaging of the Carotid Artery, The Second Joint Meeting of the IEEE Engineering in Medicine and Biology Society And the Biomedical Engineering Society, 23-26 October, 2002, Houston, Texas, USA.

C.75 P. Kaplanis, C.S. Pattichis, R.V. Colin, Influence of Isometric Voluntary Contraction on

Time and Frequency Domain Parameters of Surface EMG, The Second Joint Meeting of the IEEE Engineering in Medicine and Biology Society And the Biomedical Engineering Society, 23-26 October, Houston, Texas, USA, 2002.

C.76 S. Ch. Voskarides, C.S. Pattichis, R. Istepanian, C. Michaelides, C.N. Schizas, Practical

Evaluation of GPRS Use In A Telemedicine System In Cyprus, CD-ROM Proceedings of the 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 24-26 April, Birmingham, UK, 4 pages, 2003.

C.77 C. Loizou, C.S. Pattichis, R. Istepanian, M. Pantziaris, E. Kyriakou, T. Tyllis, A. Nicolaides.

Ultrasound Image Quality Evaluation, CD-ROM Proceedings of the 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 24-26 April, Birmingham, UK, pp.138-141, 2003.

C.78 C. Christodoulou, E. Kyriacou, M.S. Pattichis, C.S., Pattichis, A. Nicolaides, A Comparative

Study of Morphological and other Texture Features for the Characterization of Atherosclerotic Carotid Plaques, Computer Analysis of Images and Patterns, LNCS2756, 10th International Conference, CAIP 2003, Ed. by N. Petkov, and M. Westenberg, Springer, Groningen, The Netherlands, August 25-27, pp. 503-511, 2003.

C.79 M. Karaolis, C. Pattichis, M. Pantzaris, A. Nicolaides, Data Mining in the Evaluation of

Risk Factors fort the Assessment of Stroke, Hellenic European Research on Computer Mathematics and its Applications, HERCMA2003, pp. 284-289, September 25-27, Athens, Greece, 2003.

C.80 E. Kyriakou, S. Voskarides, E. Kyriacou, C.S. Pattichis, R. Istepanian, C.N. Schizas,

Evaluation of GSM and GPRS Systems in Emergency Telemedicine, Craiova Medicala Vol. 5, Sup. 3 & CD-ROM Proceedings of the 1st MEDINF International Conference on Medical Informatics & Engineering, 12-15 October, Craiova, Romania, pp. 481-484, 2003.

C.81 M.S. Neophytou, C.S. Pattichis, V. Tanos, E. Kyriacou, D. Koutsouris, Texture

Characterization of Gynaecological Tissue in Endoscopy: Preliminary Findings, Craiova Medicala Vol. 5, Sup. 3 & CD-ROM Proceedings of the 1st MEDINF International Conference on Medical Informatics & Engineering, 12-15 October, Craiova, Romania, pp. 188-191, 2003.

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C.82 C.S. Pattichis, C. Christodoulou, E. Kyriacou, M.S. Pattichis, Artificial Neural Networks in

Medical Imaging Systems, Craiova Medicala Vol. 5, Sup. 3 & CD-ROM Proceedings of the 1st MEDINF International Conference on Medical Informatics & Engineering, 12-15 October, Craiova, Romania, pp. 83-91, 2003.

C.83 M. S. Pattichis, G. Martin, C. S. Pattichis, A New Model for Image Variability due to the

Scanning Process and its Effects on Texture Feature Analysis, CD-ROM Proceedings of the II EFOMP Mediterranean Conference on Medical Physics, 28-30 April, Limassol, Cyprus, 6 pages, 2004.

C.84 M.S. Neophytou, C.S. Pattichis, M.S. Pattichis, V. Tanos, E. Kyriacou, D. Koutsouris,

Multiscale Texture Feature Variability Analysis in Endoscopy Imaging Under Different Viewing Positions, CD-ROM Proceedings of the II EFOMP Mediterranean Conference on Medical Physics, 28-30 April, Limassol, Cyprus, 7 pages, 2004.

C.85 C. P. Loizou, C. S. Pattichis, R. S. H. Istepanian, M. Pantziaris, A. Nicolaides,

Atherosclerotic Carotid Plaque Segmentation, CD-ROM Proceedings of the II EFOMP Mediterranean Conference on Medical Physics, 28-30 April, Limassol, Cyprus, 6 pages, 2004.

C.86 S. Ch. Voskarides, C. Delgorge, A. Schizas, C.S. Pattichis, C.N. Schizas, R. S.H.Istepanian,

A Digital Library of X-Ray Imaging in Emergency Orthopaedics, CD-ROM Proceedings of the II EFOMP Mediterranean Conference on Medical Physics, 28-30 April, Limassol, Cyprus, 8 pages, 2004.

C.87 C. P. Loizou, C. S. Pattichis, R. S. H. Istepanian, M. Pantziaris, T. Tyllis, A. Nicolaides,

Quality Evaluation of Ultrasound Imaging in the Carotid Artery, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference MELECON 2004, May 9-12, Dubrovnik, Croatia, 4 pages, 2004.

C.88 C.S. Pattichis; E. Kyriakou, A. Pitsillides, G. Samaras, C.N. Schizas, M. Neophytou, C.

Antoniades, A. Kouppis, V. Tanos, A. Jossif, Experience with Healthcare Telematics in Cyprus, Proceedings of the European Federation for Medical Informatics Special Topic Conference, Ed. By B. Blobel, G. Gunther, C. Hidebrand, R. Engelbrecht, June 13-16, Munich, Germany, pp. 18-19, 2004.

C.89 C.I. Christodoulou, S.C. Michaelides, M. Gabella, C.S. Pattichis, Prediction of Rainfall Rate

Based on Weather Radar Measurements, International Joint Conference on Neural Networks IJCNN, Budapest, Hungary, July 25-28, 4 pages, 2004.

C.90 C.I. Christodoulou, C.S. Pattichis, E. Kyriacou, A. Nicolaides, Selection of Parameters for

Texture Analysis for the Classification of Carotid Plaques, IFMBE Proceedings Vol. 6: Medicon and Health Telematics 2004, X Mediterranean Conference on Medical and Biological Engineering, July 31 – August 5, Naples, Italy, 4 pages, 2004.

C.91 C. Loizou, C. Pattichis, R. Istepanian, M. Pantziaris, Intima Media Segmentation of the

Carotid Artery, IFMBE Proceedings Vol. 6: Medicon and Health Telematics 2004, X Mediterranean Conference on Medical and Biological Engineering, July 31 – August 5, Naples, Italy, 4 pages, 2004.

C.92 P. A. Kaplanis, C. S. Pattichis, C. I. Christodoulou, L. J. Hadjileontiadis, V.C. Roberts, T.

Kyriakides, A Surface Electromyography Classification System, IFMBE Proceedings Vol. 6:

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Medicon and Health Telematics 2004, X Mediterranean Conference on Medical and Biological Engineering, July 31 – August 5, Naples, Italy, 4 pages, 2004.

C.93 C. Loizou, C. Pattichis, R. Istepanian, M. Pantziaris, A. Nicolaides, Atherosclerotic Carotid

Plaque Segmentation, Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1-5 September, San Francisco, California, USA, 2004, 4 pages.

C.94 M.S. Neophytou, C.S. Pattichis, M.S. Pattichis, V. Tanos, E. Kyriacou, S. Pavlopoulos, D.

Koutsouris, Texture Analysis of the Endometrium During Hysteroscopy: Preliminary Results, Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1-5 September, San Francisco, California, USA, 4 pages, 2004.

C.95 C.I. Christodoulou, S.C. Michaelides, M. Gabella, C.S. Pattichis, Neural and Statistical

Classification of Weather Radar Measurements for the Prediction of Rainfall Rate, 7th Panhellenic (International) Conference of Meteorology, Climatology and Atmospheric Physics, Nicosia, Cyprus, 28-30 Sept., 2004.

C.96 A. Jossif, C.S. Pattichis, M. Kyriakides, A. Pitsillides, Success and Failure Cases in Health

Telematics from the Training Perspective: the Cyprus Experience, Proceedings of the European Federation for Medical Informatics Special Topic Conference, Ed. By A. Hasman, J. Mantas, March 19-20, Athens, Greece, pp. 81-83, 2005.

C.97 E. Kyriacou, C. Pattichis, C. Christodoulou, M. Karaolis, A. Nicolaides, An Integrated

Teleconsultation System for the Evaluation of the Risk of Stroke, Proceedings of the 5th International Network Conference INC2005, Samos, Greece, July 2005.

C.98 M.S. Neophytou, C.S. Pattichis, M.S. Pattichis, V. Tanos, E. Kyriacou, D. Koutsouris, The

Effect of Color Correction of Endoscopy Images for Quantitative Analysis in Endometrium, Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1-4 September, Shanghai, China, 4 pages, 2005.

C.99 E. Kyriakou, M.S. Pattichis, C.I. Christodoulou, C.S. Pattichis, S. Kakkos, A. Nicolaides,

Multiscale Morphological Analysis of the Atherosclerotic Carotid Plaque, Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1-4 September, Shanghai, China, 4 pages, 2005.

C.100 C.I. Christodoulou, C.S. Pattichis, E. Kyriacou, M. Pantziaris, A. Nicolaides, Content-Based

Image Retrieval for Carotid Plaque Ultrasound Images, Proceedings of the 3rd European Medical & Biological Engineering Conference of IFMBE (EMBEC 05), Prague, Czech Republic, Nov. 20-25, 6 pages, 2005.

C.101 C.P. Loizou, C.S. Pattichis, M. Pantziaris, A. Nicolaides, Performance Evaluation of Active

Contour Models for Carotid Plaque Segmentation, Proceedings of the 3rd European Medical & Biological Engineering Conference of IFMBE (EMBEC 05), Prague, Czech Republic, Nov. 20-25, 6 pages, 2005.

C.102 O. Jeromin, M.S. Pattichis, C.S. Patticihs, E. Kyriacou, and A. Nicolaides, Variogram

Methods for Texture Classification, in Proc. of SPIE Medical Imaging, San Diego, Vol. 6144D, pp. 61440D-1 – 61440D-12, March 10, 2006.

C.103 E. Kyriakou, C.S. Pattichis, M.S. Pattichis, A. Mavrommatis, S. Panayiotou, C.I.

Christodoulou, S. Kakkos, A. Nicolaides, Classification of Atherosclerotic Carotid Plaques

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Using Grey Level Morphological Analysis on Ultrasound Images, Artificial Intelligence Applications Innovations, Proceedings of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI), Edited by I. Maglogiannis, K. Karpouzis, and M. Bramer, 7-9 June, Athens, Greece, pp. 737-744, Published by Springer, 2006. Best paper award.

C.104 A. Panayides, M.S. Pattichis, C.S. Pattichis, and A. Pitsillides, A Review of Error Resilience

Techniques in Video Streaming, in Proc. of ISYC 2006, International Conference On Intelligent Systems and Computing: Theory and Applications, Ayia Napa, Cyprus, July 2006.

C.105 N. Tsapatsoulis, C. Pattichis, A. Kounoudes, C. Loizou, A. Constantinides, J. G. Taylor

Visual Attention based Region of Interest Coding for Video-telephony Applications, in Proc. 5th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP'06), Patras, Greece, 5 pages, July 2006.

C.106 M.S. Neophytou, C.S. Pattichis, M.S. Pattichis, V. Tanos, E.C. Kyriacou, D. Koutsouris,

Texture-Based Classification of Hysteroscopy Images of the Endometrium, Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 30 August - September, New York, USA, 4 pages, 2006.

C.107 T. Dimitrova, L. Georgieva, C.S. Pattichis, M. Neofytou, Qualitative Visual Image Analysis

of Bruise Age Determination: A Survey, Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 30 August - September, New York, USA, 4 pages, 2006.

C.108 S.E. Murillo, M.S. Pattichis, C. Loizou, C.S. Pattichis, E. Kyriacou, A. Constantinides, and

A. Nicolaides, Atherosclerotic Plaque Motion Analysis from Ultrasound Videos, invited in the 40th Asilomar Conference on Signals, Systems, and Computers, Asilomar Hotel and Conference Grounds, Pacific Grove, CA, 2006.

C.109 S.E. Murillo, M.S. Pattichis, C. Loizou, C.S. Pattichis, E. Kyriacou, A.G. Constantinides

and A. Nicolaides, Atherosclerotic Plaque Motion Trajectory Analysis from Ultrasound Videos, CD-ROM Proceedings of the 5th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 26-28 October, Ioannina, Greece, 5 pages, 2006.

C.110 C.I. Christodoulou, E. Kyriacou, C. S. Pattichis, A. Nicolaides, Multiple Feature Extraction

for Content-Based Image Retrieval of Carotid Plaque Ultrasound Images, CD-ROM Proceedings of the 5th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 26-28 October, Ioannina, Greece, 6 pages, 2006.

C.111 C. Nicolaou, C.S. Pattichis, Molecular Substructure Mining Approaches for Computer-

Aided Drug Discovery: A Review, CD-ROM Proceedings of the 5th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 26-28 October, Ioannina, Greece, 6 pages, 2006.

C.112 C.S. Pattichis, E. Kyriacou, M.S. Pattichis, A. Panayides, A. Pitsillides, A review of m-

Health e-Emergency Systems, CD-ROM Proceedings of the 5th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 26-28 October, Ioannina, Greece, 6 pages, 2006.

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C.113 C.S. Pattichis, Intelligent Information Medical Systems, Current Trends in Informatics, Proceeding of the 11th Panhellenic Conference in Informatics, Edited by T.S. Papatheodorou, D.N. Christodoulides, and N.N. Karanikolas, 18-20 May, Patras, Greece, pp. 25-34, 2007. Keynote lecture paper.

C.114 M.G. Xyda, C.S. Pattichis, P. Kaplanis, C. Christodoulou and D. Zazula, Model based

decomposition of MUAPS into their constituent SFEAPS, CD-ROM Proceedings of the Xth Mediterranean Conference on Medical and Biological Engineering and Computing, June 26-30, Lubjiana, Slovenia, 6 pages, 2007.

C.115 C. P. Loizou, C. S. Pattichis, M. Pantziaris, A. Nicolaides And E. Kyriakou, Ultrasound

media segmentation and texture analysis for stroke risk assessment, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 23-26, Lyon, France, 4 pages, 2007.

C.116 M. S. Neofytou, M. S. Pattichis, C. S. Pattichis, V. Tanos, E. C. Kyriacou, S. Pavlopoulos,

Color texture-based classification of hysteroscopy images of the endometrium, CD-ROM Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 23-26, Lyon, France, 4 pages, 2007.

C.117 E. Kyriacou, C. Pattichis, M. Pattichis, A. Jossif, L. Paraskeva, A.

Konstantinides, D. Vogiatzis, An M-Health monitoring system for children with suspected arrhythmias, CD-ROM Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 23-26, Lyon, France, 4 pages, 2007.

C.118 N. Tsapatsoulis, C. Loizou and C. Pattichis, Region Of Interest video coding for bit-

rate transmission of carotid ultrasound videos over 3G wireless networks, CD-ROM Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 23-26, Lyon, France, 4 pages, 2007.

C.119 M.S. Neophytou, C.S. Pattichis, M.S. Pattichis, V. Tanos, E.C. Kyriacou, D. Koutsouris,

Texture-based classification of hysteroscopy Images of the Endometrium, CD-ROM Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 23-26, Lyon, France, 4 pages, 2007.

C.120 N. Tsapatsoulis, C. Pattichis, K. Rapantzikos, Biologically inspired Region Of Interest

selection for low bit-rate video coding, CD-ROM Proceedings of the IEEE International Conference on Image Processing, September 16-19, San Antonio, USA, 4 pages, 2007.

C.121 C.S. Pattichis, E. C. Kyriacou, M.S. Pattichis, A. Panayides, S. Mougiakakou, A. Pitsillides

and C.N. Schizas, A brief overview of m-Health e-Emergency Systems, CD-ROM Proceedings of the 6th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine ITAB, November 8-11, Tokyo, Japan, 4 pages, 2007.

C.122 K. Neophytou, C. A. Nicolaou, C. S. Pattichis, and C. N. Schizas, Deriving Quantitative

Structure-Activity Relationship Models Using Genetic Programming for Drug Discovery, CD-ROM Proceedings of the 6th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine ITAB, November 8-11, Tokyo, Japan, 4 pages, 2007.

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II.8 Refereed Abstracts Published

A.1 *C. Pattichis, D. Petrondas, L. Middleton, Numerical Pattern Recognition in Computerised

EMG analysis of Single Motor Unit Potentials, VIII International Congress of Electromyography and Related Clinical Neurophysiology, May 24th-29th, Sorrento, Italy, 1987.

A.2 *L. Middleton, C. Pattichis, D. Petrondas, M. Souropetsis, A. Schizas, M. Pattichis, Numerical

Pattern Recognition in the Automatic Analysis of Motor Unit Potentials: Technical Considerations, IIIrd International Conference of Quantitative EMG, June 5-8th, Larnaca, Cyprus, 1988.

A.3 L. Middleton, C. Pattichis, D. Petrondas, M. Souropetsis, A. Schizas, G. Chrysostomou,

Numerical Pattern Recognition in the Automatic Analysis of Motor Unit Potentials in Clinical Practice: Preliminary Findings, IIIrd International Conference on Quantitative EMG, June 5-8th, Larnaca, Cyprus, 1988.

A.4 *C. Pattichis, A. Spanias, M. Pattichis, M. Souropetsis, D. Petrondas, A. Schizas, L. Middleton,

Linear Prediction analysis applied in EMG, IIIrd International Conference on Quantitative EMG, June 5-8th, Larnaca, Cyprus, 1988.

A.5 C. Pattichis, I. Schofield, P. Fawcett, A Morphological Analysis of the Macro MUP, IIIrd

International Conference on Quantitative EMG, June 5-8th, Larnaca, Cyprus, 1988. A.6 *C. Pattichis, L. Middleton, D. Petrondas, M. Souropetsis, A. Schizas, G. Gabriel, Numerical

Pattern Recognition in Automatic Motor Unit Potential Analysis, V Congress of the International Society of Greek Neuroscientists, Limassol, Cyprus, September 1-3rd, 1988.

A.7 *C. Pattichis, C. Schizas, L. Middleton, W. Fincham, Artificial Neural Net Algorithms in MUP

Classification, Muscle and Nerve, Vol. 12, No. 9, pp. 753, 1989. A.8 A. Malikides, L. Middleton, D. Petrondas, C. Pattichis, Central Motor Conductions and

Peripheral Proximal Motor Conductions in the Upper Limb, Muscle and Nerve, Vol. 12, No. 9, September, pp. 770, 1989.

A.9 L. Middleton, A. Malikides, C. Pattichis, D. Petrondas, Central and Proximal Peripheral

Motor Conductions in Demyelinating Neuropathies, Electroencephalopathy and Clinical Neurophysiology, Vol. 75, No. 1, pp. 597, 1990.

A.10 *K. Christodoulou, C. Pattichis, C. Schizas, L. Middleton, Genetic Algorithms in Clinical

Electromyography, Journal of the Neurological Sciences, Vol. 98 (Supplement), pp. 151, 1990.

A.11 L. Middleton, A. Malikides, C. Pattichis, D. Petrondas, M. Christophidou, Central and

Proximal Peripheral Motor Conductions in Familial and Acquired Demyelinating Neuropathies, Journal of the Neurological Sciences, Vol. 98 (Supplement), Attachment, 1990.

A.12 *C. Pattichis, C. Schizas, K. Lazarou, L. Middleton, W. Fincham, Artificial Neural Networks in

Clinical Electromyography: Technical Aspects, Muscle and Nerve, Vol. 13, No. 10, pp. 977, 1990.

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A.13 L. Middleton, C. Pattichis, C. Schizas, K. Lazarou, M. Christophidou, Artificial Neural Networks in Clinical Electromyography: Electrodiagnostic Aspects, Muscle and Nerve, Vol. 13, No. 10, pp. 981, 1990.

A.14 C. Pattichis, C. Schizas, L. Middleton, Artificial Intelligence in Medical Diagnosis, American

Academy of Neurology, San Diego, California, USA, May 3rd - 9th, 1992. A.15 *C. Pattichis, C. Schizas, L. Middleton, Recent Advances in the Analysis of Signals in Clinical

Neurophysiology, Proceedings of the 14th Conference of the Greek Society of Biological Sciences, Nicosia, Cyprus, April 28th - May 3rd, 1992.

A.16 C. Pattichis, C. Schizas, L. Middleton, Artificial Intelligence in Medical Diagnosis:

Application in Clinical Electromyography, Journal of Neurology, Vol. 239, Supp. 2, pp. S41, 1992.

A.17 *C. Pattichis, C. Schizas, M. Fredj, L. Middleton, A Hybrid Neural Network EMG Diagnostic

System, Proceedings of the IX International Congress of Electromyography and Clinical Neurophysiology, Jerusalem, Israel, June 8-12, 1992.

A.18 L. Middleton, C.S. Pattichis, R. Constantinou and C.N. Schizas, A Neural Network Classifier

in MUAP Analysis, Proceedings of the Vth International Conference on Computerized and Quantitative EMG, Hamilton, Ontario, Canada, May 18-21, pp. 343, 1993.

A.19 *C.S. Pattichis, R. Constantinou, S. Spyrou, C.N. Schizas and L.T. Middleton, Spectral

Modelling in the Analysis of the Interference Pattern, Proceedings of the Vth International Conference on Computerized and Quantitative EMG, Hamilton, Canada, May 18-21, 1993.

A.20 *C.S. Pattichis, M.S. Pattichis, L.T. Middelton, The Wavelet Transform in MUAP Analysis,

Abstracts of Electromyography and Motor Control, The X International Congress of EMG, and Clinical Neurophysiology, Kyoto, Japan, October 15-19, Vol. 97, No. 4, pp. S167, 1995.

A.21 *L.T. Middleton, C.I. Christodoulou, C.S. Pattichis, C.G. Pouyiouros, An Unsupervised

Learning Neural Network System in the Pattern Recognition of MUAPs, Abstracts of Electromyography and Motor Control, The X International Congress of EMG, and Clinical Neurophysiology, Kyoto, Japan, October 15-19, Vol. 97, No. 4, pp. 5169, 1995.

A.22 P.A. Kaplanis, C.S. Pattichis, S. Spyrou, C. Pouyiouros, Bispectral Analysis of EMG, World

Congress on Medical Physics and Biomedical Engineering, September 14-19, Nice, France, Medical and Biological Engineering and Computing, Vol. 35, Supplement Part I, pp. 54, 1997.

A.23 M. Xyda, C.S. Pattichis, Model Based Decomposition of MUAP’s into their Contituent

SFEAPs, World Congress on Medical and Biological Engineering and Computing, September 14-19, Nice, France, Medical and Biological Engineering & Computing, Vol. 35, Supplement Part I, pp. 55, 1997.

A.24 C.I. Christodoulou, C.S. Pattichis, M. Pantziaris, T. Tegos, T. Elatrozy, M. Sabetai, S. Dhanjil,

A. Nicolaides, Computer Aided Classification of Carotid Plaques using Neural Networks and Multi-Texture Analysis, 13th Congress of the European Chapter of the International Union of Angiology, EUROCHAP’ 99, May 26-30, Rhodes, Greece pp. 184, 1999.

A.25 P.A. Kaplanis, C.S. Pattichis, Bispectral Analysis of Surface EMG, World Congress on

Medical Physics and Biomedical Engineering, Scientific Session: MO-E324-01 New

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Methods in Bio Signal & Image Analysis, Track: 11 New Frontiers in Medical Physics and Biomedical Engineering, Chicago, USA, July 23-28, 2000.

A.26 C. Pattichis, C. Schizas, Y. Dimopoulos, G. Samaras, C. Christodoulou, M. Karaolis, M.

Pantziaris, M. Pattichis, A. Nicolaides, Evaluation of the Risk of Stroke by Telemedicine, World Congress on Medical Physics and Biomedical Engineering, Scientific Session: WE-A201-01 Telecom, Telemetry & High Speed Data Transmission, Track: 04 Medical Informatics and Biomedical Information Technology, Chicago, USA, July 23-28, 2000.

A.27 C. Pattichis, C. Christodoulou, M. Pantziaris, A. Nicolaides, Texture Analysis of Carotid

Plaques, World Congress on Medical Physics and Biomedical Engineering, Scientific Session: TH-E203-02 Special Session: Information Issues in Vascular Ultrasound image analysis, Track: 04 Medical Informatics and Biomedical Information Technology, Chicago, USA, July 23-28, 2000.

A.28 A. Antoniades, A. Kouppis, S. Pavlopoulos, E. Kyriacou, A. Kyprianou, A.S. Andreou, C.S.

Pattichis, C.N. Schizas, A Novel Telemedicine System for the Handling of Emergency Cases, Proceedings of the 5th World Conference on Injury Prevention and Control, World Health Organization (WHO), New Delhi, India, 2000.

A.29 C.S. Pattichis, C.I. Christodoulou, M. Pantziaris, A. Nicolaides, Expert Network for the

Prevention of Stroke, HEALTH-NET-CEEC 2001: Informatics Tools to Restructure Health Care Services - First Meeting of the Central and Eastern European Countries, Targu Mures, Romania, October 18-20, 2001.

A.30 K. Kyriacou, F. Schnorrenberg, C.N. Schizas, M.S. Pattichis, C.S. Pattichis, A Modular

Neural Network System for the Analysis of Immunostained Nuclei in Histopathological Sections, XIV Congress of the International Society of Diagnostic Quantitative Pathology, Oviedo (Spain) 26-29 September, 2001.

A.31 C.S. Pattichis, M.S. Pattichis, C.I. Christodoulou, D. James, L. Ketai, P. Soliz, A Screening

System for the Assessment of Opacity Profusion in Chest Radiographs of Miners with Pneumoconiosis, First Cyprus-Greek Radiology Conference, Nicosia, Cyprus, March 23-24, 2002, pp. 44.

A.32 M.S. Pattichis, P. Soliz, C.S. Pattichis, D. James, L. Ketai, Computer Assisted

Morphological Analysis of Opacities in Chest Radiographs, ATS 2002 Atlanta International Conference, Atlanta, Georgia, U.S.A, May 17-22, 2002.

A.33 P. Soliz, C.S. Pattichis, M.S. Pattichis, D. James, L. Ketai, Texture Analysis of Opacity

Profusion in Chest Radiographs of Patients Presenting with Pneumoconiosis, ATS 2002 Atlanta International Conference, Atlanta, Georgia, U.S.A., May 17-22, 2002.

A.34 C. Pattichis, C. Christodoulou, E. Kyriakou and M. Pattichis, Artificial Neural Networks in

Medical Imaging Systems, International workshop on Computational Management Science, Economics, Finance and Engineering, 28-30 March 2003, Limassol, Cyprus.

A.35 P. Kaplanis, C.S Pattichis, C. Roberts, Surface EMG Analysis on Normal Subjects Based on

Isometric Voluntary Contraction, World Congress on Medical Physics and Biomedical Engineering, 24-29 August 2003. Sydney, Australia.

A.36 V. Tanos, M.S. Neophytou, C.S. Pattichis, “Computer Assisted Tissue Image Analysis in

Endometrium Cancer”, 33rd Meeting of the International Society for Oncodevelopment Biology and Medicine, 24-29 September, Rhodes, Greece, 2005.

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* Personally delivered at conferences

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III. RESEARCH GRANTS Summary Numbers III.1 Ongoing Research funds ........................................................................................................ 2,695,173 Euro

III.2 Research funds for the period 2001-2006 ................................................................................ 915,297 Euro III.3 Research funds for the period 1996-2000 ................................................................................ 628,693 Euro

III.4 Research funds for the period 1986-1995 ...........................................................................396,385 Euro Total amount of research funds managed ......................................................................4,635,548 Euro

5,988,582 USD III.1 Ongoing Research Projects F.1 Investigating Disease Associated Gene-Gene Interactions: A Distributed Complete two SNP

Interaction Analyses Framework Principal Investigator Glaxo Smith Klime, UK December 2007 – November 2008 Funding: 98,900 Euro F.2 Wireless Microsensors for the Detection of Cardiac Diseases Principal Investigator Research Promotion Foundation, Cyprus Program for Research and Technological Development 2005-2007 December 2006 – December 2008 Funding: 183,320 Euro F.3 Multimodal Biometric Security System Co-Investigator Research Promotion Foundation, Cyprus Program for Research and Technological Development 2005-2007 December 2006 – December 2008 Funding: 59,210 Euro F.4 A Mediterranean Research and Higher Education Intranet in Medical and Biological

Sciences Principal Investigator EU European Regional Development Fund INTERREG III B Archimed June 2006 – March 2007 Funding: 1,233,940 Euro (for the University of Cyprus: 340,708 Euro) F.5 An INTEgrated broadband telecommunication pilot teleservices-platform for improving

health care provision in the Region of MEDiterranean Co-Investigator

EU European Regional Development Fund INTERREG III B Archimed June 2006 – March 2007 Funding: 197,388 Euro

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F.6 East Mediterranean Cohesion on Information and Telecommunications Co-Investigator EU European Regional Development Fund INTERREG III B Archimed June 2006 – March 2007 Funding: 61,162 Euro F.7 Accident Prediction Early Warning System Principal Investigator Research Promotion Foundation, Cyprus Program Expatriate Researchers 2003-2005 September 2006 – August 2008 Funding: 82,345 Euro F.8 The Network Digital Video Surveillance Project Co-Investigator Ministry of Commerce and Industry, Cyprus Call for High Technology and Innovative Incubator Companies April 2006 – April 2008 Funding: 224,525 Euro F.9 Intraoperative Computer Assisted Tissue Image Analysis (CATIA) Co-Principal Investigator Research Promotion Foundation, Cyprus PENEK/KIN 2005, Program for the Financial Support of New Researchers March 2006 – February 2008 Funding: 118,896 Euro F.10 Video Segmentation and Motion Analysis of the Atherosclerotic Carotid Plaque in

Ultrasound Imaging (VISEMA) Co-Principal Investigator Research Promotion Foundation, Cyprus Program Hosting an Expatriate Researcher February 2006 – January 2007 Funding: 62,066 Euro F.11 Surface EMG Diagnostic System Based on Statistical and Modelling Principal Investigator Research Promotion Foundation, Cyprus Program for Bilateral Cooperation: Cyprus-Slovenia 2003-2005 December 2005 – November 2007 Funding: 18,056 Euro F.12 Advanced Telecommunication System for the Direct and Automated Notification of Volunteer

Blood Donors Principal Scientific Investigator Research Promotion Foundation, Cyprus Program for Research and Technological Development 2005-2007 September 2005 – August 2008 Funding: 213,460 Euro F.13 Development of Knowledge-based Visual Attention Models for Perceptual Video Coding Principal Investigator

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Research Promotion Foundation, Cyprus Program for Research and Technological Development 2003-2005 September 2005 – August 2007 Funding: 141,905 Euro III.2 Completed Research Projects for the Period 2001-2006 F.14 Exploratory Investigation in the Analysis of High Dimensional SNPs Data Principal Investigator Glaxo Smith Klime, UK December 2004 – December 2005 Funding: 90,640 Euro F.15 Network for Future Regional Health Care / Future Health Co-Investigator European Regional Development Fund INTERREG III C North zone January 2004 – December 2006 Funding: 59,098 Euro F.16 Network of Excellence on Virtual Reality and Virtual Environments Applications for

Future Workspaces (INTUITION) Co-Investigator European Commission, DG for Information Society Technologies Integrating and Strengthening the ERA October 2004 – September 2006 Funding: 17,530 Euro F.17 Mobile and Robotised Telemedicine for Emergency Vehicle (MARTE) Principal Investigator Research Promotion Foundation, Cyprus Program for Bilateral Cooperation: Cyprus-France 2003-2005 September 2004 – August 2006 Funding: 10,520 Euro F.18 Integrated System for the Evaluation of Ultrasound Imaging of the Carotid Artery (TALOS) Co-Principal Investigator Research Promotion Foundation, Cyprus Program for Research and Technological Development 2003-2005 January 2004 – December 2005 Funding: 87,440 Euro F.19 SEEArchWeb: An Interactive Web-based Forum of Southeastern European Archaeology Co-Investigator MINERVA Programme October 2003 – September 2006 Funding: 38,060 Euro F.20 Integrated System for the Digital Analysis of Endoscopic Imaging Macrobiopsy for the

Support of the Diagnosis of Gynaecological Cancer (IPPOKRATIS) Principal Investigator Research Promotion Foundation, Cyprus PENEK 2002, Program for the Financial Support of New Researchers

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December 2002 – November 2004 Funding: 65,785 Euro F.21 Electronic Journeys: A Case for The Cyprus Educational & Cultrural System (Avli tou

Evagora) Co- Investigator Ministry of Education and Culture, Cyprus Telecommunications Authority, and University of Cyprus, Cyprus September 2002 – December 2004 Funding: 280,645 Euro F.22 Integrated System for the Support of the Diagnosis for the Risk of Stroke (IASIS) Principal Investigator Research Promotion Foundation, Cyprus 5th Annual Program for the Financing of Research Projects December 2002 – November 2005 Funding: 102,438 Euro F.23 European Computing Education and Training (ECET) Co- Investigator European Commission, DG for Education and Culture Socrates Programme October 2001 – September 2004 Funding: 17,546 Euro F.24 Image Processing of Hyperspectral Satellite Imagery Co- Investigator Ball Aerospace &Technologies Corp. Systems Engineering Operations, USA July 2001 – December 2001 Funding: 8,330 Euro F.25 Quantitative Analysis of Chest Radiographs Co- Investigator KESTREL Corporation, USA, Biomedical Imaging Division

National Institute for Occupational Safety and Health (NIOSH) Grant 2R44 OHRRGM 03595.

January 2001 – August 2002 Funding: 28,510 Euro F.26 Neurological and Genetic Networking of the two Communities (NeuroNet) Principal Investigator United Nations Office for Project Services (UNOPs) January 2001 - December 2002 Funding: 108,755 Euro III.3 Completed Research Projects for the Period 1996-2000 F.27 Health Telematics Services Based on the WAP Protocol Co-Principal Investigator Planning Bureau, Cyprus/General Secretariat of Research and Technology, Greece October 2000 – March 2002 Funding: 8,770 Euro

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F.28 Remote Medical Education via Internet Enhanced Services (REMEDIES LEONARDO EL/00/B/F/PP-1114019) Co- Investigator European Commission, DG XXII Leonardo Da Vinci Programme January 2000 – Decemeber 2001 Funding: 17,540 Euro F.29 Health Telematics

Principal Investigator University of New Mexico High Performance Computing Education & Research Center

September 2000 – August 2001 Funding: 27,626 Euro

F.30 Software and Hardware for the Digital Systems Laboratory of UNM Co-Principal Investigator

Xilinx Corporation, USA September 2000 – August 2001

Funding: 26,665 Euro F.31 Continuing Professional Development Concerning General Practicioners

(PROPRACTITION) Co- Investigator

European Commission, DG XXII Leonardo Da Vinci Programme December 1999 – June 2001 Funding: 13,156 Euro (Total budget 139,305 Euro) F.32 Acquisition, Transmission and Compilation of Digital Sound and Image in Medical

Practice (TELEPATHOLOGY) Co- Investigator European Commission, DG XXII Leonardo Da Vinci Programme December 1999 – June 2001 Funding: 6,130 Euro (Total budget 136,555 Euro) F.33 Gynecological Cancer Diagnostic Telepathology and Teleconsultation Network

(TELEGYN) Principal Investigator Middle East Cancer Consortium June 1999 – May 2001 Funding: 25,385 Euro F.34 Additional Funding for the project Gynecological Cancer Diagnostic Telepathology and

Teleconsultation Network Co-Principal Investigator Rotary International May 2000 Funding: 21,000 Euro F.35 Training Virtual Environment for Life-long Learning in Biomedicine (TRAVELLING) Co- Investigator

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European Commission, DG XXII Leonardo Da Vinci Programme December 1998 – December 2000 Funding: 5,950 Euro (Total budget 195,495 Euro) F.36 Cultural Journeys in the Information Society (CJIS) Co-Investigator European Commission International Scientific Co-operation Initiative December 1998 – November 2000 Funding: 39,378 Euro (Total budget 511,667 Euro) F.37 An Integrated Portable Medical Device for Emergency Telemedicine – HC4027,

EMERGENCY-112 Co-Investigator European Commission, DG XIII 4th Research & Development Framework Programme, Healthcare Telematics January 1998-December 2000

Supported by the Government of Cyprus Planning Bureau Funding: 63,018 Euro (Total budget 1,092,212 Euro) F.38 Mobile Unit for Health Care Provision via Telematic Support-HC1001 Co-Investigator European Commission, DG XIII 4th Research & Development Framework Programme, Healthcare Telematics January 1996-December 1998

Supported by the Government of Cyprus, Planning Bureau Funding: 72,202 Euro (Total budget 1,925,585 Euro) F.39 Health Telematics Training Network - HEALTHNET Principal Investigator European Commission, DG XXII Leonardo Da Vinci Programme December 1997 – December 2000 Funding: 142,280 Euro F.40 The Value of Non-Invasive Investigations in Identification of Individuals with

Asymptomatic Carotid Stenosis at Risk of Stroke (ACSRS) Co-Investigator European Commission, DG XII Biomedical and Health Research 1994-1998 January 1997-December 1999

Supported by the Government of Cyprus, Planning Bureau Funding: 81,835 Euro (Total budget 350,100 Euro) F.41 Electronic Roads in the Information Society (ERIS) Co-Investigator University of Cyprus January 1997-December 2000 Funding: 43,775 Euro (Total budget 218,867 Euro) F.42 Neurophysiology Equipment Co-Investigator

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REUTERS July 1997 Funding: 5,255 Euro (Total budget 25,750 Euro) F.43 The Development of Novel Techniques and Neural Network Models for Medical Imaging:

Application in Breast Cancer Diagnosis Co-Principal Investigator Planning Bureau, Cyprus/General Secretariat of Research and Technology, Greece January 96 - January 98 Funding: 25,400 Euro F.44 An Integrated System for Decision Support in Medicine Principal Investigator University of Cyprus January 96 - December 96 Funding: 3,328 Euro III.4 Completed Research Projects for the Period 1986-1995 F.45 Neurophysiology Equipment: Nicolet Viking IV Electromyograph Principal Investigator Nicolet Biomedical Inc., USA July 1995 Funding: 26,278 Euro F.46 Laser-Doppler Flowmetry for Microcirculation Monitoring: Advanced Signal Processing

Aspects Principal Investigator University of Cyprus January 94 - December 95 Funding: 2,627 Euro F.47 Image Processing in Histopathology Principal Investigator Commission of the European Commmunities, International Scientific Cooperation Initiative Marie Curie Followship January 94 - December 94 Funding: 32,585 Euro F.48 Quantitative Immunohistochemical Assessment of Progrostic Factors in Carcinoma of the

Breast Co-Investigator University of Cyprus September 93 - August 96 Funding: 43,795 Euro F.49 Computer Aided Diagnosis of Neuromuscular Disorders Based on EMG and Muscle Biopsy

Findings Co-Investigator University of Cyprus September 93 - December 1994 Funding: 3,505 Euro

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F.50 Laser-Doppler Flowmetry for Microcirculation Monitoring Co-Investigator Commission of the European Communities, Directorate-General XII, Biomedical and Health Research 1991-1994 January 1993 - December 1995 F.51 Computer Hardware Co-Principal Investigator NCR International January 1990 - December 1991 Funding: 28,482 Euro F.52 ComputerHardware, Software, Peripherals, Data Acquisition Cards Co-Principal Investigator

From the Grant by the US Government in the context of its humanitarian aid programme to Cyprus through the UNHCR for the creation of the Cyprus Institute of Neurology and Genetics (CING)

June 1990 Funding: 17,516 Euro (CING was granted $600,000 in 1990 for equipment, and $1.8

million in 1991 for building its own premises. In addition, $2.0 million have been allocated for 1992).

F.53 Computer Aided Diagnostic Systems in Medicine Co-Principal Investigator Leventis Foundation January 1989 - December 1990 Funding: 46,092 Euro F.54 Computer Aided Analysis of Motor Unit Potentials on the Cadwell Excel Electromyograph Principal Investigator Cadwell Labs, USA September 1989 - August 1991 Funding: 78,835 Euro F.55 Neurophysiology Equipment: Excel Electromyograph, and MES-10 Magnetic Stimulator Principal Investigator Cadwell Labs, USA September 1989 - August 1991 Funding: 87,592 Euro F.56 Computer Hardware Principal Investigator NCR International June 1986 - June 1989 Funding: 8,058 Euro F.57 Numerical Pattern Recognition in the Automatic Analysis of Motor Unit Potentials Co-Investigator Muscular Dystrophy Group of Great Britain April 1986 - March 1988 Funding: 21,020 Euro

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IV. DISSERTATION/THESES SUPERVISION Summary Numbers

IV.1 PhD Disseratiations A. Completed .......................................................................................................................7 B. In Progress ........................................................................................................................4

IV.2 MSc Theses A. Completed .....................................................................................................................21 B. In Progress ........................................................................................................................2 IV.1 PhD Dissertations A. Completed2 1. An Integrated Endoscopy Image Analysis System in the Assessment of Gynaecological Cancer

Marios Neophytou, Ph.D. 2007 Department of Electrical and Computer Engineering, National Technical University of Athens, Greece Supervised jointly with Prof. D. Koutsouris

Co-authored publications: J.23, JS.3, C.81, C.84, C.88, C.95, C.99, C.106. 2. Wireless Health Information Systems

Sotos Voskarides, Ph.D. 2007 Department of Electronic Engineering Brunel University, UK Supervised since June 2001, jointly with Prof. M. Hadjinicolaou

Co-authored publications: J.41, BC.11, C.71, C.72, C.76, C.80, C.86. 3. Ultrasound Image Analysis of the Carotid Artery

Christos Loizou, Ph.D. 2005 School of Computing and Information Systems, Kingston University, UK Supervised jointly with Prof. Robert Istepanian. Co-authored publications: J.29, J.31, J.35, J.36, J.43, BC.15, BC.17, BC.18, C.73, C.74, C.77, C.85, C.87, C.91, C.94, C.102, C.108, C.109.

4. Computer Aided Assessment of Certain Neuromuscular Disorders Based on Surface

Electromyography Kaplanis Prodromos, Ph.D, 2004 Department of Medical Engineering and Physics, University of London, King's College School

of Medicine and Dentistry, UK Supervised jointly with Prof. Colin Roberts, Head of the Department.

Co-authored publications: JS.2, C.41, C.55, C.60, C.61, C.75, C.92, A.22, A.25, A.35. 5. Neural Network Pattern Recognition in Biosignal Analysis Christodoulos Christodoulou, Ph.D., 2000 Department of Electronic Engineering, University of London, Queen Mary and Westfield

College Supervised jointly with Dr. William Fincham (Senior Lecturer), and Dr John Bigham

(Lecturer). 2 PhD students that completed their studies were jointly supervised with fellow colleaques in other Universities. All students carried out their work at the University of Cyprus, mainly under my supervision. This is also documented by the co-authored publications.

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Co-authored publications: J.11, J.12, J.24, J.25, J.29, J.34, J.43, BC.4, BC.8, BC.10, BC.15, BC.18, C.30, C.33, C.35, C.41, C.42, C.45, C.49, C.50, C.51, C.53, C.54, C.62, C.63, C.69, C.73, C.74, C.78, C.82, C.89, C.90, C.92, C.93, C.96, C.98, C.100, C.101, C.104, C.110.

6. Immovaple Property Taxation and the Development of an Artificial Neural Network Evaluation

System for Residential Properties in Cyprus Panayiotis Panayiotou, Ph.D., 1999 Department of Built Environment, University of Glamorgan Supervised jointly with D. Jenkin (Lecturer) and F. Plimmer (Reader). Co-authored publications: J.15, J.16, C.58. 7. Virtual Search for Simple Non-Rigid Multi-Feature Objects in Histopathologic Image Data Frank Theo Schnorrenberg, Ph.D., 1998 Department of Computer Science, University of Groningen Supervised jointly with Prof. N. Petkov and Prof. C.N. Schizas. Co-authored publications: J.8, J.19, J.40, BC.7, BC.16, C.26, C.32, C.38, C.39. B. In Progress 1. Data Mining in Medical Datasets Minas Karaolis, M.Sc. Department of Computer Science, University of Cyprus Supervised since September 2001 Co-authored publications: J.43, C.79, C.98. 2. Computational Inteligence Algorithms to Identify Multivariate Genotype to Phenotype Interactions

in High Dimensional SNP and Phenotype Datasets Athos Antononiades, B.Sc. Department of Computer Science, University of Cyprus Supervised since September 2002 3. Hybrid Multiobjective Evolutionary Algorithms in Small Molecule De Novo Design Christodoulos Nickolaou, M.Sc. Department of Computer Science, University of Cyprus Supervised since September 2004 Co-authored publications: C.111. 4. Error Resilient Techniques Andreas Panayides, M.Sc. Department of Computer Science, University of Cyprus Supervised since September 2005 Co-authored publications: J.42, C.105, C.112. IV.2 MSc Theses A. Completed 1. Data Preprocessing Algorithms Demetris Papademetriou, M. Sc. Thesis 2007 Department of Computer Science, University of Cyprus 2. Rule Extraction Based on Genetic Algorithms Katerina Neophytou, M. Sc. Thesis 2007 Department of Computer Science, University of Cyprus

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3. Rule Extraction from Decision Trees in Medical Databases Antonia Loizou, M. Sc. Thesis 2007 Department of Computer Science, University of Cyprus 4-5. A Data Mining System Applied in the National Database for Mammography Chrysanthos Chrysanthou, M. Sc. Thesis 2007 & George Ioakeim, M. Sc. Thesis 2007 Department of Computer Science, University of Cyprus 6. Application of Wearable Sensors for the Monitoring of Children with Cardiac Arythmias Paraskeva Loukas, M. Sc. Thesis 2007 Department of Computer Science, University of Cyprus 7. AM-FM Analysis of SEMG Emilios Hadjikrokopis, M. Sc. Thesis 2007 Department of Computer Science, University of Cyprus 8. A Neural Network Architecture Based on Dissimilar Neurons Anna Pitsillidou, M. Sc. Thesis 2006 Department of Computer Science, University of Cyprus 9. A Data Mining System in the Assessement of Vine Products Christiana Lazou, M. Sc. Thesis 2006 Department of Computer Science, University of Cyprus 10. Morphological Analysis of Ultrasound Images of the Carotid Artery Andreas Mavrommatis, M. Sc. Thesis 2006 Department of Computer Science, University of Cyprus 11. SVM Models in Medical Diagnostic Systems Stavros Panayiotou, M. Sc. Thesis 2006 Department of Computer Science, University of Cyprus 12. 3D Texture Analysis Christos Andreou, M. Sc. Thesis 2006 Department of Computer Science, University of Cyprus 13. CMT Blast Analysis Alice Tutunzian, M. Sc. Thesis 2006 Department of Computer Science, University of Cyprus 14. Content Based Image Retrieval in Ultrasoun Imaging of the Carotid Artery Spyros Spyrou, M. Sc. Thesis 2005 Department of Computer Science, University of Cyprus 15. An Online Analytical Mining System Based on Association Rules in the Assessment of Stroke Prokopios Savvides, M. Sc. Thesis 2005 Department of Computer Science, University of Cyprus 16. Association Rule Extraction in a Breast Cancer Database Zoi Xadgigeorgiou, M. Sc. Thesis 2005 Department of Computer Science, University of Cyprus 17. Rule Extraction from Neural Networks

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Maria Mikallou, M. Sc. Thesis 2005 Department of Computer Science, University of Cyprus 18. Feature Selection Algorithms Demetris Simeonides, M. Sc. Thesis 2004 Department of Computer Science, University of Cyprus 19. An Algorithm for the Identification of the Genes Responsible for the Distal Hereditary Motor

Neuropathy Christothea Stylianidou, M. Sc. Thesis 2004 Department of Computer Science, University of Cyprus 20. Model Based Decomposition of MUAPs into their Constituent SFEAPs Maria Xyda, M. Phil. Thesis 2006 Department of Informatics, University of Glamorgan, UK Supervised jointly with Dr. Paul Angel. 21. Autoregressive Spectral Modeling of Motor Unit Action Potentials Elia Andreas, M. Phil. Thesis 1994 Department of Electronic Engineering, University of London, Queen Mary and Westfield

College Supervised jointly with Dr. William Fincham. B. In Progress 1. A Data Mining System Applied in the Assessment of Children with Congenital Heart Disease Maria Andreou, B. Sc. Department of Computer Science, University of Cyprus Supervised since September 2005 2. A P2P Workflow Management System in e-Emergency Vaso Pavlaki, B.Sc. Department of Computer Science, University of Cyprus Supervised since June 2006 IV.3 Undergraduate Diploma Projects More than 77 diploma projects supervised since 1993.

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V. TEACHING EXPERIENCE V.1 Courses Taught A. University of Cyprus

Artificial Intelligence - CS604 (jointly with Y. Dimopoulos) Fall 2003, 2004 Digital Video Processing – CS658 Spring 2006 Data Mining- CS662 Spring 2002, 2003, 2004, 2005, 2007 Digital Image Processing- CS445 Spring 2002, Fall 2003, 2005, 2006 Microprocessor Systems– CS423 Fall 1997, Fall 1998 Computational Learning Systems – CS442 Spring 1995 Computer Organization and Assembly Programming – CS221 Fall 1993, Spring 1995, 1996, 1997, 1998, 1999, Fall 1999, 2003, 2004 Digital Systems– CS121 Spring 1997, 1998, 1999, 2000, 2003, 2006, 2007 Unix and C – CS230 Fall 1995 Introduction to Computer Science – CS100 Fall 1993, Spring 1994, Fall 1994, 1995, 1996 Courses Developed: CS604, CS658. CS662, CS121, CS221, CS423, CS442, CS445 B. University of New Mexico

Computer Logic Design – EECE238 Fall 2000 (two sections), Spring 2001, Fall 2001 (two sections)

C. Intercollege Computer Organization Fall 1986, Spring 1987, Fall 1988, Spring 1989 D. Higher Technical Institute Introduction to Expert Systems Fall 1988, 1989, 1990, Spring 1991

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Introduction to Compiler Design Spring 1989 V.2 Short Courses Taught National and Kapodistrian University of Athens, Faculty of Nursing, Laboratory of Health Informatics MSc course in Health Informatics Biosignal Analysis (30hrs) (jointly with C.N. Schizas) August 31-September 5, 1998 Cyprus Association of Medical Physics and Biomedical Engineering Digital Signal Processing Applications (20 hrs) Funded by the Industrial Training Authority of Cyprus December 18-20, 1995 Intercollege Assembly Language Programming (40 hrs) Funded by the Industrial Training Authority of Cyprus May 15 - August 5, 1987

V.3 Student Evaluations SEMESTER COURSE INSTRUCTOR SCORE

OUT OF 5 Spring 2006 CS 658 Digital Video Processing 4.30 Fall 2005 CS 445 Digital Image Processing 4.42 Fall 2005 CS 121 Digital Systems 2.91 Spring 2005 CS 662 Data Mining 4.76 Fall 2004 CS 604 Artificial Intelligence 4.31 Fall 2004 CS 221 Computer Organization and Assembly

Programming 3.10

Spring 2004 CS 662 Data Mining 4.50 Fall 2003 CS 604 Artificial Intelligence 4.30 Fall 2003 CS 445 Digital Image Processing 4.70 Spring 2003 CS 662 Data Mining 4.75 Fall 2002 CS 445 Digital Image Processing 4.41 Spring 2002 CS 662 Data Mining 4.87 Spring 2002 CS 445 Digital Image Processing 4.96 Fall 2001 EECE238 Computer Logic Design+ 4.50 Spring 2001 EECE238 Computer Logic Design+ 4.46 Fall 2000 EECE238 Computer Logic Design+ 4.42 Spring 2000 CS 121 Digital Systems 3.52 Fall 1999 CS 221 Computer Organization and Assembly

Programming 4.58

Fall 1998 CS 221 Computer Organization and Assembly Programming

4.33

Student evaluations not available for the rest of the years.

+ Taught at the University of New Mexico

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VI. ADMINISTRATIVE AND COMMITTEE WORK EXPERIENCE VI.1 Department Committees

Elected Vice-Chairperson of the Department of Computer Science, University of Cyprus, Nov. 2006 – Nov. 2008.

Cordinator of the Undergraduate Program Committee, Department of Computer Science,

University of Cyprus, since 2003.

Co-Cordinator of the Undergraduate Program Committee, Department of Computer Science, University of Cyprus, 1999, 2000, 2002.

Cordinator of the Digital Logic and Microprocessor Systems Laboratory, Department of

Computer Science, University of Cyprus, 1993 - 2000.

Departmental Representative of the Socrates Programme, Department of Computer Science, University of Cyprus, 1998, 1999, 2000.

Coordinator for the Organization of Seminars, Department of Computer Science, University

of Cyprus, 1998, 1999.

Coordinator for CS400-Diploma Project, Department of Computer Science, University of Cyprus, June 1997.

VI.2 School Committees

Re-elected Memebr of the Board of the School of Pure and Applied Sciences, 2005-2006.

Elected Memebr of the Board of the School of Pure and Applied Sciences, 2003-2004.

Member of the Committee for the Establishment of Health Sciences Research Unit,

Department of Computer Science, University of Cyprus, April 1996. VI.3 University Committees

Chairperson of the Ad-hoc Senate Committee on Encouraging Students to be More Active in Social Matters, University of Cyprus, 2006 - 2007.

Chairperson of the Senate Committee on Information Systems, University of Cyprus, 2003 -

2004.

Member of the Committee for the Evaluation of the tender eUniversity, University of Cyprus, April 2004 – July 2004.

Member of the Committee for the Evaluation of the tender Security Policy for the University

of Cyprus, University of Cyprus, October 2003 – December 2003.

Member of the Committee for the Evaluation of Computer Equipment, University of Cyprus, April 1998, September 1999.

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VI.4 Other Committees

Coordinator of the Curriculum Committee, Department of Computer Engineering, Intercollege, October 1988 - June 1990.

Member of the Scientific Staff Training Committee of the Cyprus Institute of Neurology and

Genetics, 1988-1992.

Member of the Commission of the European Communities Biomedical Health Projects Exploratory Committee of the Cyprus Institute of Neurology and Genetics, 1988-1992.

Project Leader of the Medical Records Computerization Committee of the Cyprus Institute of

Neurology and Genetics, 1988-1992.

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VII. PROFESSIONAL ACTIVITIES VII.1 Conference Activities A. Conference Chair/Co-Chair A.1 ITAB 2009: IEEE Information Technology Applications in Biomedicine, Larnaca, November 5-

7, 2009. A.2 e-Health Forum: 4th Meeting of the Greek Forum on Health Telematics, Limassol, April 26,

2002. A.3 MELECON'2000: IEEE Region 8 Mediterranean Conference on Information Technology and

Electrotechnology, Limassol, May 29-31, 2000 (in collaboration with IEEE and IEE). A.4 MEDICON'98: MEDIterranean CONference on Medical and Biological Engineering and

Computing, Limassol, June 14-17, 1998 (in collaboration with the IFMBE (International Federation of Medical and Biological Engineering) and IEEE EMBS).

A.5 DSP95: International Conference on Digital Signal Processing, Limassol, June 26-28, 1995 (in

collaboration with IEE, EURASIP and IEEP ASSP). A.6 DSP&CAES93: International Conference on Digital Signal Processing and Second International

Conference on Computer Applications to Engineering Systems, Nicosia, July 14-16, 1993 (in collaboration with IEE, EURASIP and IEEP ASSP).

A.7 CAES91: First Cyprus International Conference on Computer Applications to Engineering

Systems, Nicosia, July 1-2, 1991 (in collaboration with IEEE and IEE). B. Conference Program Chair / Co-Chair B.1 ITAB 2006: IEEE Information Technology Applications in Biomedicine, Ioannina, October 26-

28, 2006. C. Conference Session Chair C.1 Chairperson: ITAB 2007, Information Technology Applications in Biomedicine, November

8-11, Tokyo, Japan, 2007. C.2-3 Chairperson: Sessions Telemedicine I and II, 29th IEEE EMBS Annual International

Conference (EMBC07), August 23-26, Lyon, France, 2007.

C.4 Chairperson: Summer School on Intelligent Systems, Organised in collaboration with European Thematic Network DOCTORAL EDUCATION IN COMPUTING (DEC), and the INTERREG III B Archimed Project: A Mediterranean Research and Higher Education Intranet in Medical and Biological Sciences, July, 2-6, Nicosia, Cyprus, 2007, www.cs.ucy.ac.cy/sums.

C.5 Chairperson: Medical Imaging Technology, Organised in collaboration with the INTERREG III B Archimed Project: A Mediterranean Research and Higher

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Education Intranet in Medical and Biological Sciences, November 9, Nicosia, Cyprus, 2007.

C.6 Chairperson: Session Neural Control, Reinforcement Learning and Applications, International

Conference on Artificial Neural Networks (ICANN), 10-14 September 2006, Athens, Greece.

C.7 Chairperson: Session Biosignal Analysis, Medicon and Health Telematics 2004, X Meditteranean Conference on Medical and Biological Engineering, July 31 – August 5, Naples, Italy, 2004.

C.8 Chairperson: Session PACS, II EFOMP Mediterranean Conference on Medical Physics, The Analogue to Digital Migration of the Hospital Working Environment, 28-30 April, 2004, Limassol, Cyprus.

C.9 Chairperson: Session Artificial Intelligence in Medicine, The 1st MEDINF International

Conference On Medical Informatics & Engineering MEDINF’2003, Craiova, Romania, 9-11 October 2003.

C.10 Chairperson: Session Classification, CAIP'2003 Computer Analysis of Images and Patterns,

Groningen, The Netherlands, August 25-27, 2003. C.11 Chairperson: 14th International Conference on Digital Signal Processing, July 1-3, 2002,

Santorini, Greece, Session on Biomedical Signal and Image Processing I. C.12 Chairperson: Research-Statistics-Cancer Care, 6th Marianna Lordos Seminar, The Cyprus Anti –

Cancer Society, Larnaca, February 8-10, 2002. C.13 Co-Organizer and Chairperson: Mobile Health Systems, 23rd Annual International Conference of

the IEEE Engineering in Medicine and Biology Society, Constantinoupolis, Turkey, October 25-28, 2001.

C.14 Co-Organizer and Chairperson: Track 04: Medical Informatics and Biomedical Information

Technology: Image Analysis in Vascular Ultrasound, World Congress on Medical Physics and Biomedical Engineering, Chicago, USA, July 23-28, 2000.

C.15 Co-Organizer and Chairperson: Workshop Session 2C: Tele-Medicine, Re-Engineering Cyprus

for the Digital Age: New Business and New Jobs, Nicosia, December 18-19, 1999. C.16 Biomedical Applications, ICASSP 99, Phoenix, USA, March 16-19, 1999. C.17 Organiser and Chairman: Health Telematics, EURO-MED NET 98 Conference, Nicosia, March

4-7, 1998. C.18 Track: Neural Networks for Signal Processing, 16th Annual Intenrational Conference of the

IEEE Engineering in Medicine and Biology Society, Baltimore, Maryland, November 3-6, 1994. C.19 Mini-Symposium Co-organizer: Neural Networks in Medical Diagnosis, 16th Annual

Intenrational Conference of the IEEE Engineering in Medicine and Biology Society, Baltimore, Maryland, November 3-6, 1994.

C.20 Track: Neural Networks, 15th Annual International Conference of the IEEE Engineering in

Medicine and Biology Society, San Diego, California, October 28-31, 1993.

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C.21 Track: Muscle and Nerve Muscular Systems, Session: Neuromuscular System Neural Activity, 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Paris, France, Oct. 29 - Nov. 1, 1992.

C.22 Expert Systems, IX International Congress of Electromyography and Clinical Neurophysiology,

Jerusalem, Israel, June 8-12, 1992. C.23 Organiser and Chairman: Imaging Techniques in Histopathology and Cytology, Third National

Seminar of the Association of Medical Physics and Biomedical Engineering, Nicosia, Cyprus, May 23rd, 1992.

D. Organizing Committee D.1 ITAB2007: Information Technology Applications in Biomedicine, November 8-11, Tokyo,

Japan, 2007. D.1 CAIP2007: 12th International Conference on Computer Analysis of Images and Patterns,

August 27th - August 29th, 2007, Vienna, Austria. D.2 CBMS2007: 20th IEEE International Symposium on Computer Based Medical Systems, Special

Track on Technology Enhanced Learning in Medical Education, June 20-22, 2007, Slovenia. D.3 MEDICON´07: MEDIterranean CONference on Medical and Biological Engineering and

Computing, 26-30 June 2007, Ljubljana, Slovenia. D.4 16th International Conference on Artificial Neural Networks (ICANN), 10-14 September 2006,

Athens, Greece. D.5 International Conference On Intelligent Systems and Computing: Theory and Applications

(ISYC 2006), Ayia Napa, Cyprus, July 2006. D.6 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI), 7-9 June,

Athens, Greece, June 2006. D.7 Medicon and Health Telematics 2004, X Meditteranean Conference on Medical and Biological

Engineering, July 31 – August 5, Naples, Italy, 2004. D.8 12th IEEE Mediteranean Electrotechnical Conference MELECON 2004, to be held on May 9-

12, 2004 in Dubrovnik, Croatia. D.9 II EFOMP Mediterranean Conference on Medical Physics, The Analogue to Digital Migration

of the Hospital Working Environment, 28-30 April, 2004, Limassol, Cyprus. D.10 Ninth European Conference on Artificial Intelligence in Medicine, 18-22 October 2003,

Protaras, Cyprus. D.11 The 1st MEDINF International Conference On Medical Informatics & Engineering

MEDINF’2003, Craiova, Romania, 9-11 October 2003. D.12 CAIP'2003 (Computer Analysis of Images and Patterns) August 25-27, 2003, Groningen, The

Netherlands.

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D.13 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 24-26 April, Birmingham, UK, 2003.

D.14 Medical Informatics Europe – Special Topic Conference 2002: The e-volution of IT in the

Health Care Systems, Nicosia, Cyprus, 8-10 March, 2002. D.15 HEALTH-NET-CEEC 2001: Informatics Tools to Restructure Health Care Services - First

Meeting of the Central and Eastern European Countries, Targu Mures, Romania, April 26-27-28, 2001.

D.16 MEDICON'01: MEDIterranean CONference on Medical and Biological Engineering and

Computing, Pula, Croatia, June 12-15, 2001. D.17 Tele EEG, Cyprus Institute of Neurology and Genetics, Nicosia, October 2-3, 1998. D.18 Medical Informatics in Cyprus (Nicosia-Cultural Month 95), Nicosia, October 11, 1995. D.19 International Conference on Medical Physics & Biomedical Engineering, Nicosia, May 5-7,

1994. D.20 Creativity and Science in the Great Europe of Cultural Centres, Nicosia, July 16-17, 1993. D.21 Trends in Health Care Technology, 4th Annual National Seminar of the Cyprus Association of

Medical Physics and Biomedical Engineering, Limassol, May 29th, 1993. VII.2 Reviewer For A. Journals

IEEE Transactions on Information Technology in Biomedicine, Associate Editor (2000-2007). IEEE Transactions on Neural Networks, Associate Editor (2005-2007).

IEEE Transactions on Signal Processing.

IEEE Transactions on Biomedical Engineering.

IEEE Engineering in Medicine & Biology Magazine.

IEEE Transactions on Multimedia.

IEEE Transactions on Image Processing.

Annals of Operations Research.

Artificial Intelligence in Medicine.

Journal of Systems Architecture The EURO MICRO Journal.

Journal of Intelligent Systems.

Journal of Electromyography and Kinesiology.

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Knowledge and Information Systems (KAIS).

Medical and Biological Engineering and Computing.

Medical Engineering & Physics.

Technology and Health Care.

HTI Review, 1989, 1990. B. Conferences

16th International Conference on Artificial Neural Networks (ICANN), 10-14 September 2006, Athens, Greece.

3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI), 7-9 June,

Athens, Greece. Proceedings of the 3rd European Medical & Biological Engineering Conference of IFMBE

(EMBEC 05), Prague, Czech Republic, 20-25 November 2005.

Medicon and Health Telematics 2004, X Meditteranean Conference on Medical and Biological Engineering, July 31 – August 5, Naples, Italy, 2004.

International Conference on Computer Systems and Technologies – CompSysTech’04, 17-18

June, Rousse, Boulgaria, 2004. 12th IEEE Mediteranean Electrotechnical Conference MELECON 2004, to be held on May 9-

12, 2004 in Dubrovnik, Croatia. II EFOMP Mediterranean Conference on Medical Physics, The Analogue to Digital Migration

of the Hospital Working Environment, 28-30 April, 2004, Limassol, Cyprus. Ninth European Conference on Artificial Intelligence in Medicine, 18-22 October 2003,

Protaras, Cyprus. 1st MEDINF International Conference on Medical Informatics & Engineering, 12-15 October,

Craiova, Romania, 2003. CAIP'2003 (Computer Analysis of Images and Patterns) April 2003, Groningen, The

Netherlands. Medical Informatics Europe, Pola, France, 2003.

4th International IEEE EMBS Special Topic Conference on Information Technology

Applications in Biomedicine, 24-26 April, Birmingham, UK, 2003. IEEE International Conference on Image Processing, ICIP 2001, October 7-10, Thessaloniki,

Greece. MEDIterranean CONference on Medical and Biological Engineering and Computing, Pula,

Croatia, June 12-15, 2001.

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World Congress on Medical Physics and Biomedical Engineering, Chicago, USA, July 23-28, 2000.

European Signal Processing Conference, Rhodes, Hellas, September 14-17, 1998.

IEEE Region 8 Students Paper Contest 1995.

15th Annual International Conference of the IEEE Engineering in Medicine and Biology

Society, San Diego, California, October 28-31, 1993. IX International Congress of Electromyography and Clinical Neurophysiology, Jerusalem,

Israel, June 8-12, 1992. V Congress of the International Society of Greek Neuroscientists, Limassol, Sept. 1988.

IIIrd International Conference on Quantitative EMG, Nicosia, June 1988.

VII.3 Professional Societies Activities A. Senior Member of the IEEE (elected in 1999)

Member of the Computer, Acoustics Speech and Signal Processing (ASSP), Engineering in

Medicine and Biology, and Neural Networks Societies.

B. IEEE Cyprus Section

President 1998-2000 Vice-President 1996-1997 Secretary 1994-1995, 2002-2004 Founding member of the Section

C. Cyprus Association of Medical Physics and Biomedical Engineering

President 1996-1998 Vice-President 1994-1996 Secretary 1992-1994, 2002-2004 Member of the council 2004-2006, 2006-2008 Founding member of the Association

D. Cyprus Society of Medical Informatics

Secretary 2004-2006, 2006-2008 Council member 2002-2004

E. ProRec-CY (mission: to promote the widespread use of high quality electronic health record

(EHR) systems in Cyprus

Secretary 2006- Founding member

F. Registered Member

European Society for Engineering and Medicine Cyprus Computer Society

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Cyprus Professional Engineers Association

VII.4 Project Evaluation, Reviewing, and Consulting A. Experience in Project Evaluation 1. General Secretariat of Research and Technology, Greece Annual Program for the Financing of Research Projects Project Evaluator June 1999 2. General Secretariat of Research and Technology, Greece ATHLETICS CALL, Research and Development Projects Project Evaluator January 2003 3. Ministry of Commerce and Industry, Cyprus Call for High Technology and Innovative Incubator Companies Project Evaluator January 2003, June 2003, October 2004, June 2006, December 2006 4. Ireland Health Research Board Project Evaluator – Health Telematics March 2005 5. EU FP6 Information Society Technologies

Call for ICT for Health Nov. 2004 Project Evaluator – Directorate H - ICT For Citizens and Businesses Unit H1 - ICT for Health

April 2005 6. Slovenian Research Academy Project Evaluator – General Applied Research Project October 2007 B. Consulting 1. Ministry of Health, Cyprus Expression of Interest (EOI) For The Supply, Installation And Commissioning Of A Turnkey

Solution For An Integrated Health Care Information System For The Ministry Of Health Of The Government Of The Republic Of Cyprus

Consultant November 2003 - December 2004 2. Ministry of Education, Cyprus

Member of Several Technical Committees for the Evaluation of Computer Science Courses at Institutes of Higher Education in Cyprus

2004 –

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VIII. INVITED SEMINARS AND PRESENTATIONS Summary Numbers: 36 1. A Review of m-Health e-Emergency Systems, ΙΕΕΕ ITAB 2007, Information Technology

Applications in Biomedicine, November 8-11, Tokyo, Japan, 2007. Keynote Lecture. 2. Intelligent Information Medical Systems, Current Trends in Informatics, PCI´2007 11th

Panhellenic Conference in Informatics, 18-20 May, Patras, Greece, 2007. Keynote Lecture. 3. A Review of m-Health e-Emergency Systems, International seminar “Devolution of Health Care

– a New Regional Perspective”, 17 November, University of Helsinki, Finland, 2006. 4. Artificial Neural Networks in Medical Imaging Systems, Project ‘ΕΥΦΥΕΣ’ Biomedical

Research Institute, University of Ioannina, November 2004. 5. Citizen-Centered eHealth Services, to the International Conference on Computer Systems and

Technologies – CompSysTech’04 PhD students’ workshop, 17-18 June, Rousse, Boulgaria, 2004.

6. Citizen-Centered eHealth Services, to the Benchmarking Cyprus in IT, Session on eHealth, 28

May, Nicosia, Cyprus, 2004. 7. Artificial Neural Networks in Medical Imaging Systems, to the 1st MEDINFO International

Conference on Medical Informatics & Engineering, 12-15 October, Craiova, Romania, 2003. 8. Computational Intelligence in Medical Systems: to Medical Informatics Europe – Special

Topic Conference 2002: The e-volution of IT in the Health Care Systems, Nicosia, Cyprus, March 8-10, 2002

9. TELEGYN: Intraoperative Tele-histopathology and Tele-Consultation in Gynecological Cancer

and Breast Cancer, to 6th Marianna Lordos Seminar, The Cyprus Anti – Cancer Society, Larnaca, February 8-10, 2002.

10. Adaptive Neural Network Imaging in Medical Systems, to 35th Asilomar Conference on Signals,

Systems, and Computers, Monterey, California, USA, November 4-7, 2001. 11. Medical imaging fusion applications: An overview, to 35th Asilomar Conference on Signals,

Systems, and Computers, Monterey, California, USA, November 4-7, 2001. 12. Expert Network for the Prevention of Stroke, to HEALTH-NET-CEEC 2001: Informatics

Tools to Restructure Health Care Services - First Meeting of the Central and Eastern European Countries, Targu Mures, Romania, October 18-20, 2001.

13. Experience with a Mobile Unit for Health Care Provision via Telematic Support – the EU

AMBULANCE&EMERGENCY-112 projects, to Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico, USA, December 1, 2000.

14. Medical Informatics Infrastructure in Cyprus, to Workshop on Regional Health Information

Networks-Health for you-Health 4U, Supported by the European Commission-WISE project, December 9-10, Thessaloniki, Greece, 1999.

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15. Intelligent Diagnostic Systems in Biosignal Analysis and Medical Imaging, to Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico, USA, October 18, 1999.

16. Computer Aided Classification of Carotid Plaques using Neural Networks and Multi-Texture

Analysis, 13th Congress of the European Chapter of the International Union of Angiology, EUROCHAP’ 99, May 26-30, Rhodes, Greece, 1999.

17. Advances in Diagnostic Methods – Histopathology: Neural Network System for the Analysis of

Nuclei in Histopathological Sections, to 5th Marianna Lordos Seminar, The Cyprus Anti – Cancer Society, Larnaca, November 28, 1998.

18. MUAP Analysis Algorithms-Recent Developments, to VI International Conference on

Computerized and Quantitative EMG, September 23-25, Vigo, Spain, 1998. 19. Intelligent Systems in Biosignal Analysis, to Laboratory of Vision Systems, Department of

Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, USA, May 18, 1998.

20. Intelligent Systems in Biosignal Analysis, to Department of Computer Science, University of

Groningen, Holland, May 4, 1998. 21. Intelligent Systems in Biosignal Analysis, to Biomedical Engineering Centre, Consorzio per la

Ricerca e l’Educazione Permanente, Politecnico di Torino, January 16, 1998. 22. Neural Information Processing Systems in Medical Imaging, to International Course on

Noninvasive Cerebrovascular Investigations, Nicosia, March 22, 1996. 23. Motor Unit Action Potential Signal Processing with Artificial Neural Networks, to The X

International Congress of EMG and Clinical Neurophysiology, Kyoto, Japan, October 15-19, 1995.

24. Classification Performance of Motor Unit Action Potential Features, to First Neuroscientists

Conference: Neuromulcular Disorders Thessaloniki-Nicosia, Thessaloniki, Greece, June 3-4, 1994.

25. Firing Pattern, Recruitment and Interference Analysis, to Fifth International Conference on

Computerized and Quantitative EMG, McMaster University, Hamilton, Ontario, Canada, May 18-21, 1993.

26. Quantitative EMG and its Contribution to Clinical Diagnosis, to Regional Workshop in

Neurology and Neurogenetics, Limassol, Cyprus, October 16-20, 1992. 27. Review of Image Processing Techniques in Histopathology and Cytology, to the Third National

Seminar of the Association of Medical Physics and Biomedical Engineering, Nicosia, Cyprus, May 23rd, 1992.

28. Neural Networks and Computer Aided Electromyography, to Association of Medical Physics

and Biomedical Engineering, Nicosia, Cyprus, March 1991. 29. Artificial Neural Networks, and Quantitative Electromyography: An Overview, to Cadwell Labs,

Distinguished Annual Lecture, Kennewick, Washington, USA, October 1990.

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30. Computer Aided Clinical Electromyography, to CDSP Research Centre, Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA, October 1990.

31. Recent Advances in Computer Aided Electromyography, to the Department of Neurology,

College of Physicians and Surgeons of Columbia University, NY, USA, October 1990. 32. Neural Networks, Workshop on Expert Systems, 4th International Conference on

Computerized and Quantitative EMG, Johannes-Gutenberg-Universitüt, Mainz, Germany, September 13-15th, 1990.

33. Artificial Neural Networks in Clinical Electromyography, to the Neurophysiology Group,

Cadwell Labs, Kennewick, Washington, USA, September 1989. 34. Numerical Pattern Recognition in the Automatic Analysis of Motor Unit Potentials, to the

Special Interest Group of Computer Aided Electromyography, 35th Annual Scientific Meeting of the American Association of Electromyography and Electrodiagnosis, NY, USA, September 1988.

35. Numerical Pattern Recognition in the Automatic Analysis of Motor Unit Potentials: Technical

Considerations and Clinical Practice, to the Neurophysiology Group, Medelec Ltd, Old Working, Surrey, UK, August 1988.

36. Numerical Pattern Recognition in the Automatic Analysis of Motor Unit Potentials: Hands on

Experience, to the IIIrd International Conference on Quantitative EMG, Larnaca, Cyprus, June 5-8th, 1988.

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IX. REFERENCES References will be provided by (given in alphabetical order):

Prof. Scott T. Acton Director, Virginia Video and Image Analysis Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville, VA 22904-4743, USA Tel.: (434) 924-2003, Fax: (434) 924 8818 Email: [email protected] http://viva.ee.virginia.edu/

Prof. Metin Akay Interim Chair Harrington Department of Bioengineering Fulton School of Engineering Arizona State University MC 9709 Tempe, Arizona 85287-9709, USA Email: [email protected] Tel.: 480-965-7447 Fax: 480-727-0789 http://bmi.asu.edu/faculty/akay.php Prof. Evangelia Micheli-Tzanalou Past Chair Director, Computational Intelligence Laboratory Department of Biomedical Engineering Rutgers University, NJ, USA 599 Taylor Road Piscataway, NJ 08854 Email: [email protected] Tel.: 732-445-3155 (main office) http://cil.rutgers.edu/tzanakou/ Prof. Nikolai Petkov Head, Intelligent systems Group & Centre for High Performance Computing, Department of Mathematics and Computing Science University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Tel.: 50-363-7129, Fax.: 50-363-3800 Email: [email protected] http://www.cs.rug.nl/~petkov/

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APPENDIX A: RESEARCH WORK ON INTELLIGENT INFORMATION MEDICAL SYSTEMS

My research work is mainly focused in the development of intelligent information systems in medical imaging and biosignal analysis. The systems developed (that are briefly presented below) cover the following:

• Computational Intelligence in Medical Systems • Ultrasound Imaging: An Integrated System for the Assessment of the Risk of Stroke • Endoscopy Imaging: A CAD System for the Assessment of Gynaecological Cancer • Microscopy Imaging: Breast Cancer Biopsy image Analysis Support System (BASS) and Electron

Microscopy (EM) Muscle Imaging System • Biosignal Analysis: Electromyographic (EMG) Signal Analysis System for the Assessment of

Neuromuscular Disorders • M-Health e-Emergency Systems.

In the context of the development of innovative computational intelligence based medical systems, two systems were developed. The first one, investigates the classification capacity of a new adaptive neural network architecture based on dissimilar neurons in medical data sets, whereas, the second one investigates the effectiveness of video coding based on visual attention and region of interest. For the medical imaging and biosignal analysis systems developed, these incorporated all the steps from signal acquisition and preprocessing, to clustering, feature extraction, classification and decision making. This work covers the development of integrated systems in medical imaging for the processing and analysis of ultrasound images of the carotid, endoscopy images in gyanaecological cancer of the endometrium, and breast cancer biopsies. A modular neural network mutli feature/multi classifier diagnostic system including image normalisation, despeckle filtering, plaque segmentation, texture and morphological feature extraction, and neural network classification has been developed for differentiating between asymptomatic and symptomatic plaques in ultrasound imaging of the carotid for the assessment of the risk of stroke. The image normalization and feature extraction modules of this system are in pilot use in several centres in North America and Europe. Furthermore, a standardised protocol for the analysis of endoscopy images in gynaecological cancer has been proposed enabling the differentiation between normal and abnormal endometrium, cervix, and ovary tissue. Given that there is no standardised methodology for the interpretation of endoscopy images in gynaecology; our proposed standardised protocol is at presently discussed for consideration by the European Society for Gynaecological Endosopy (ESGE) and the European Academy of Gynaecological Cancer (EAGC). Also, a modular neural network architecture has been proposed for computing automatically the histopathological score in breast cancer biopsies immunohistochemically stained. In biosignal analysis an automated electromyographic system has been developed supporting the unsupervised pattern recognition of MUAPS, as well as the time domain, frequency domain, and wavelet analysis and classification. This system has been successfully applied in the Department of Clinical Neurophysiology of the Cyprus Institute of Neurology and Genetics (CING), and one of the earlier versions of this system was made commercially available through CADWELL Labs, USA. Research work on e-Health systems, focuses in mobile health systems in emergency telematics, including the wireless transmission of biosignals and video based on error resilient techniques included in recent video standards like H.264/AVC (MPEG4-Part 10). A new system is currently under development to be installed in the Pafos General Hospital connecting the ambulance services, and the rural health centres. This work has been published in 42 journal papers, 113 conference papers, and 18 chapters in books, whereas funding in support exceeded 4,500,000 Euro. A.1 Computational Intelligence in Medical Systems3 A.1.1 Classification Capacity of a Modular Neural Network Implementing Neurally Inspired Architecture and Training Rules [J28], [C.64] A three-layer neural network with a novel adaptive architecture has been developed. The hidden layer of the network consists of slabs of single neuron models, where neurons within a slab - but not between slabs - have the same type of activation function. The network activation functions in all three layers have adaptable

3 In the brackets and parentheses following the title of each section, the corresponding publications and research grants are given as referenced in sections II and III of the CV respectively.

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parameters. The network was trained using a biologically-inspired, guided-annealing learning rule on cardiological and breast cancer data sets. Good training/testing classification performance was obtained on all data sets tested. The performance achieved was comparable to that of SVM classifiers. It was shown that the adaptive network architecture, inspired from the modular organization often encountered in the mammalian cerebral cortex, can benefit the classification performance. A.1.2 Visual Attention Based Region of Interest Coding for Video Applications [JS.4], [C.105], [SC.1],

(F.12) A novel saliency-based computational model for visual attention that processes both top-down (goal directed) and bottom-up information is proposed. Processing in the top-down channel creates the so called skin conspicuity map and emulates the visual search for human faces performed by humans. This is clearly a goal directed task but is generic enough to be context independent. Processing in the bottom-up information channel follows the principles set by Itti et al {1998} but it deviates from them by computing the orientation, intensity and color conspicuity maps within a unified multi-resolution framework based on wavelet subband analysis. The bottom-up topographic feature maps and the top-down skin conspicuity map are then combined through a sigmoid function to produce the final saliency map. For evaluation purposes, in terms of perceived visual quality and video compression improvement, an ROI-based video compression setup was followed. Extended experiments concerning both MPEG-1 as well as low bit-rate MPEG-4 video encoding were conducted showing significant improvement in video compression efficiency without perceived deterioration in visual quality. The proposed framework is currently evaluated on ultrasound imaging of the carotid. A.2 Ultrasound Imaging: An Integrated System for the Assessment of the Risk of Stroke

[J.31], [J.42], [BC.9], [BC.10], [BC.15], [BC.17], [C.87], [C.97], (F.17), (F.21), (F.39) Stroke is the third leading cause of death in the Western World and the major cause of disability in adults. There are indications that the morphology of atherosclerotic carotid plaques obtained by high resolution ultrasound imaging has prognostic implications. The objective of this work was to develop an integrated system which will facilitate the automated characterisation of carotid plaques for the identification of individuals with asymptomatic carotid stenosis at risk of stroke. The system is based on the following componenets: (i) despeckle filtering and normalisation, (ii) segmentation, (iii) texture feature extraction, and (iv) neural network classification. A.2.1 Despeckle Filtering [J.29], [BC.18], [C.73] For despeckle filtering, a comparative evaluation of despeckle filtering based on texture analysis, image quality evaluation metrics, and visual evaluation by medical experts, in the assessment of 440 (220 asymptomatic and 220 symptomatic) ultrasound images of the carotid artery bifurcation was carried out. A total of 10 despeckle filters were evaluated based on local statistics, median filtering, pixel homogeneity, geometric filtering, homomorphic filtering, anisotropic diffusion, non-linear coherence diffusion and wavelet filtering. The results of this study suggest that the first order statistics filter gave the best performance, followed by the geometric filter, and the homogeneous mask area filter. These filters improved the class separation between the asymptomatic and the symptomatic classes based on the statistics of the extracted texture features, gave only a marginal improvement in the classification success rate, and improved the visual assessment carried out by the two experts. A.2.2 Segmentation [J.32], [J.35], [C.91], [C.93], [C.101] Ultrasound measurements of the human carotid artery walls are conventionally obtained by manually tracing interfaces between tissue layers. A snakes based segmentation technique for detecting the intima-media layer and measuring the intima media thickness (IMT) of the far wall of the common carotid artery (CCA) in longitudinal ultrasound images, after normalization, speckle reduction, and normalization and speckle reduction was developed. The proposed technique utilizes an improved snake initialization method, and an improved validation of the segmentation method. We have tested and clinically validated the segmentation technique on 100 longitudinal ultrasound images of the carotid artery based on manual measurements by two vascular experts, and a set of different evaluation criteria based on statistical measures and univariate statistical analysis. The results showed that there was no significant difference between all the snakes segmentation measurements and the manual measurements. Furthermore, a system was developed for the segmentation of atherosclerotic plaque in ultrasound imaging of the carotid artery. The following snakes segmentation methods were investigated: the Williams & Shah, Balloon, Lai & Chin, and the gradient vector flow (GVF) snake. The performance of the four different plaque snakes segmentation methods was tested on 80 longitudinal ultrasound images of the carotid artery using receiver operating characteristic (ROC) analysis and the manual delineations of an expert. All four methods performed very

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satisfactorily and similarly in all measures evaluated with no significant differences between them; however the Lai & Chin snakes segmentation method gave slightly better results. A.2.3 Multi-Feature Texture Analysis and Classification Using Modular Neural Networks [J.24], [J.30],

[J.34], [BC.8], [C.78], [C.90], [C.99], [C.100], [C.102], [C.103], [C.110] The following different texture feature sets and shape parameters were extracted from the segmented plaque images: First Order Statistics (FOS), Spatial Gray Level Dependence Matrices (SGLDM), Gray Level Difference Statistics (GLDS), Neighborhood Gray Tone Difference Matrix (NGTDM), Statistical Feature Matrix (SFM), Laws Texture Energy Measures (TEM), Fractal Dimension Texture Analysis (FDTA), and Fourier Power Spectrum (FPS), and Shape Parameters. In addition multilevel binary and gray scale morphological features were extracted. The plaques were classified into two types: symptomatic because of ipsilateral hemispheric symptoms, or asymptomatic because they were not connected with ipsilateral hemispheric events. A total of 274 (137 symptomatic and 137 asymptomatic) ultrasound images of carotid plaques were analysed, with the statistics of all features extracted for the two classes indicating a high degree of overlap. For the classification a modular neural network composed of self-organizing map (SOM), Probabilistic Neural Network (PNN) and Support Vector Machine (SVM) classifiers, and combining techniques based on a confidence measure were used. Combining the classification results of the different classifiers inputted with the texture and morphological feature sets, improved the classification rate obtained by the individual feature sets reaching an average diagnostic yield of 76%. The results in this work show that it is possible to identify a group of patients at risk of stroke based on texture features extracted from ultrasound images of carotid plaques. This group of patients will benefit from a carotid endarterectomy whereas other patients will be spared from an unnecessary operation. A.3 Endoscopy Imaging: A CAD System for the Assessment of Gynaecological Cancer (F.8),

(F.17) Within the female population, gynaecological cancer accounts for the second highest mortality rate. Early diagnosis and treatment of gynaecological cancer are essential for better quality and longer life. The development of minimally invasive surgery based on hysteroscopy, transabdominal/transvaginal laparoscopy operations have already demonstrated the advantages of endoscopic techniques. Research work is carried out, towards the development of a CAD system to facilitate the standardised differentiation between normal and abnormal tissue in endoscopy imaging. A.3.1 A Standardised Protocol for Capturing Endoscopic Images [JS.4], [C.84] A standardized protocol in endoscopic imaging is proposed in order to eliminate significant texture feature differences due to variations in (i) the distance from the tissue, (ii) difference in viewing angles, and (iii) color correction. All images were captured at clinically optimum illumination and focus using 720x576 pixels and 24 bits color for: (i) a variety of testing targets from a color palette with a known color distribution, (ii) different viewing angles, and (iii) two different distances from a calf endometrial and from a chicken cavity. For the viewing conditions proposed in the standardized protocol, results indicate that there is no significant difference in texture features between the panoramic and close up views and between angles. For a calibrated target image, gamma correction provided an acquired image that was a significantly better approximation to the original target image. In turn, this implies that the texture features extracted from the corrected images provided for better approximations to the original images. This study provides a standardized protocol that should be followed in Computer Aided Diagnosis (CAD) systems in the assessment of gynaecological cancer of the endometrium for avoiding any significant texture feature differences that may arise due to variability in the viewing conditions or the lack of color correction. A3.2 Texture-Based Classification [C.81], [C.94], [C.98], [C.106], [A.36] The objective of this study was to classify hysteroscopy images of the endometrium based on texture analysis for the early detection of gynaecological cancer. A total of 418 Regions of Interest (ROIs) were extracted (209 normal and 209 abnormal) from 40 subjects. Images were gamma corrected and were converted to gray scale. The following texture features were extracted: (i) Statistical Features (SF), (ii) Spatial Gray Level Dependence Matrices (SGLDM), and (iii) Gray Level Difference Statistics (GLDS). The PNN and SVM neural network classifiers were also investigated for classifying normal and abnormal ROIs. Results show that there is significant difference between the texture features of normal and abnormal ROIs for both the gamma corrected and uncorrected images. Abnormal ROIs had lower gray scale median and homogeneity values, and higher entropy and contrast values when compared to the normal ROIs. The highest percentage of correct classifications score was 77% and was achieved for the SVM models trained with the SF and GLDS features. Concluding, texture features provide useful information differentiating between normal and abnormal ROIs of the endometrium.

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A.4 Microscopy Imaging: Breast Cancer Biopsy image Analysis Support System (BASS) and Electron Microscopiy (EM) Muscle Imaging System

A.4.1 A Modular Neural Network System for the Analysis of Nuclei in Histopathological Sections [J.8], J.10], [J.19], [J.39], [BC.7], [BC.16], [C.27], [C.32], [C.34], [C.38], [C.39], (F.31)-(F.33), (F.42), (F.46), (F.47)

The evaluation of immunocytochemically stained histopathological sections presents a complex problem due to many variations that are inherent in the methodology. In this study a modular neural network based approach to the detection and classification of breast cancer nuclei named Biopsy Analysis Support System (BASS), was designed. The system is based on a modular architecture where the detection and classification stages are independent. The system uses two different methods for the detection of nuclei: the one approach is based on a feed forward neural network (FNN) which uses a block-based singular value decomposition (SVD) of the image to signal the likelihood of occurrence of nuclei. The other approach consists of a combination of a receptive field filter and a squashing function (RFS), adapting to local image statistics to decide on the presence of nuclei at any particular image location. The classification module of the system is based on a radial basis function neural network. A total of 57 images captured from 41 biopsy slides containing over 8300 nuclei were individually and independently marked by two experts. A five scale grading system, known as diagnostic index, was used to classify the nuclei staining intensities. The experts’ mutual detection sensitivity (SS) and positive predictive value (PPV) were found to be 79% and 77% respectively. The overall joint performance of the FNN and RFS modules were 55% for SS and 82% for PPV. The classification module correctly classified 76% of all nuclei in an independent validation set containing 25 images. This study shows that the BASS system simulates the detection and grading strategies of human experts and it will enable the formulation of more efficient standardization criteria, which will in turn improve the assessment accuracy of histopathological sections. A.4.2 AM-FM Texture Segmentation in Electron Microscopic Muscle Imaging [J.18], [C.52], (F.46), (F.48) Beyond the fixed-scale limitations of Wavelet techniques, Amplitude Modulation - Frequency Modulation (AM-FM) models allow continuous-scale analysis of texture images. In AM-FM representations, variations in the frequency content are modelled by an instantaneous frequency vector field which can dramatically change from pixel to pixel. Variations in contranst in the image are modeled as ampltitude modulation. The new AM-FM models provide a powerful new technique for non-stationary texture analysis. This work investigated the application of an AM-FM image representation in segmenting electron micrographs of skeletal muscle for the recognition of: (i) normal sarcomere ultrastructural pattern, and (ii) abnormal regions that occur in sarcomeres in various myopathies. A total of 26 electron micrographs from different myopathies were used for this study. It is shown that the AM-FM image representation can identify normal repetitive structures and sarcomeres, with a good degree of accuracy. This system can also detect abnormalities in sarcomeres which alter the normal regular pattern, as seen in muscle pathology, with a recognition accuracy of 75 to 84% as compared to a human expert. A.5 Biosignal Analysis: Electromyographic (EMG) Signal Analysis System for the Assessment

of Neuromuscular Disorders [J5]-[J7], [J.9], [J.17], [J.37], [J.38], [BC.2]-[BC.4]. [EJS.3], [EJS.4], [C.1]-[C.8], [C.10], [C.12]-[C.14], [C.16]-C.20], [C.26], [C.28], [C.31], [C.35], (F.10), (F.43), (F.44), (F.48), (F.50)-(F.56)

A.5.1 Unsupervised Pattern Recognition for the Classification of EMG Signals [J.12] Quantitative analysis in clinical electromyography (EMG) is very desirable because it allows a more standardized, sensitive and specific evaluation of the neurophysiological findings. The shapes and firing rates of motor unit action potentials (MUAPs) in an EMG signal recording provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this information from EMG signals recorded at low to moderate force levels it is required: (i) to identify the MUAPs composing the EMG signal, (ii) to classify MUAPs with similar shape and (iii) to decompose the superimposed MUAP waveforms into their constituent MUAPs. For the classification of MUAPs two different pattern recognition techniques were developed: (i) an artificial neural network (ANN) technique based on unsupervised learning, using a modified version of the self-organizing feature maps (SOFM) algorithm and learning vector quantization (LVQ) and (ii) a statistical pattern recognition technique based on template matching. A total of 1213 MUAPs obtained from 12 normal subjects, 13 subjects suffering from myopathy, and 15 subjects suffering from motor neuron disease were analyzed. The success rate for the ANN technique was 97.6% and for the statistical technique 95.3%. The proposed SOFM and LVQ algorithm achieved learning in only one epoch, the learning rate was frequency sensitive, and a new factor was introduced to optimize weight adaptation. A.5.2 Time-Scale Analysis of Motor Unit Action Potentials (MUAP) [J.11], [J.13], [J.14], [C.23], [C.49]

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The wavelet transform (WT) that provides localized statistical measures (the scalogram) for non-stationary signal analysis was investigated for studying MUAP morphology. The following four wavelet transforms were investigated in analysing a total of 800 MUAPs recorded from 12 normal subjects, 15 subjects suffering with motor neuron disease, and 13 from myopathy: Daubechies with 4 and 20 coefficients, Chui, and Battle-Lemarie. The results are summarised as follows: (i) Most of the energy of the MUAP signal is distributed among a small number of well-localized (in time) WT coefficients in the region of the main spike. (ii) For MUAP signals, we look to the low frequency coefficients for capturing the average waveshape of the MUAP signal over long durations, and we look to the high frequency coefficients for locating MUAP spike changes. (iii) The Daubechies 4 wavelet, is effective in tracking the transient components of the MUAP signal. (iv) The linear spline Chui (semiorthogonal) wavelet provides the best MUAP signal approximation by capturing most of the energy in the lowest resolution approximation coefficients. (v) Neural network diagnostic yield (DY) of Daubechies 4 and Battle Lemarie wavelet transform coefficients was in the region of 66% (that was better than the frequency, autoregressive, and cepstral features), whereas DY for the empirically determined time domain feature set was 78%. In conclusion, wavelet analysis provides a new way in describing MUAP morphology in the time-frequency plane. This method allows for the fast extraction of localized frequency components, which when combined with time domain analysis into a modular neural network decision support system enhances further the DY to 82.5% aiding the neurophysiologist in the early and accurate diagnosis of neuromuscular disorders. A.5.3 Surface EMG Analysis on Normal Subjects Based on Isometric Voluntary Contraction [JS.2],

[C.41], [C.55], [C.61], [C.75], [C.92] Surface Electromyography EMG (SEMG) has been used effectively for Functional Electrical Stimulation (FES) or for the controlling of artificial limbs, however, its use in clinical diagnosis has been very limited or non-existent. A number of studies have shown that SEMG generated by either voluntary or electrically elicited muscle activity, contain more significant information than it was originally believed. However, only a few studies have been traced in the literature, tabulating normal values of one or maybe two parameters, recorded only though, from a limited number of subjects. The objective of this study was to compute reference SEMG values for normal subjects of 13 parameters extracted in the time, frequency and bispectrum domain, from the Biceps Brachii (BB) muscle generated under isometric voluntary contraction (IVC). SEMG signals were recorded from 94 subjects for 5 seconds at 10, 30, 50, 70 and 100% of Maximum Voluntary Contraction (MVC). The main findings of this study can be summarized as follows: (i) The time domain parameters turns per second and number of zero crossings per second increase significantly with force level. (ii) The power spectrum median frequency parameter decreases significantly with force level, whereas maximum power and total power increase significantly with force level. (iii) The bispectrum parameter, maximum amplitude, increases significantly with force level with the exception the transition from 30 to 50% MVC. (iv) The time domain parameters have good correlation between them as well as, between each one of them and maximum and total power. The median frequency has a good (negative) correlation with the Bispectrum peak amplitude. (v) No significant differences exist between values based on gender or age. The findings of this study can further be used for the assessment of subjects suffering with neuromuscular disorders, or in the rehabilitation laboratory for monitoring the elderly or the disabled, or in the occupational medicine laboratory. A.6 m-Health e-Emergency Systems [J.22], [J.23], [J.36], [J.40], [J.41], [BC.11]-[BC.14],

[C.71], [C.72], [C.76], [C.80], [C.86], [C.96], [C.112], (F.4), (F.14), (F.16), (F.36), (F.37) The provision of effective emergency telemedicine and home monitoring services are the major fields of interest discussed in this study. Ambulances, Rural Health Centers (RHC) or other remote health location such as ships navigating in wide seas are common examples of possible emergency sites, while critical care telemetry and telemedicine home follow-ups are important issues of telemonitoring. In order to support the above different growing application fields we developed a combined real-time and store and forward facility that consists of a base unit and a telemedicine (mobile) unit. This integrated system can be used when handling emergency cases in ambulances, RHC or ships by using a mobile telemedicine unit at the emergency site and a base unit at the hospital-expert's site. The system allows the transmission of vital biosignals (3, or 12 lead ECG, SPO2, NIBP, IBP, Temp) and still images of the patient. The transmission is performed through GSM, GPRS, or UMTS mobile networks, through satellite links or through Plain Old Telephony Systems (POTS) where available. Using this device a specialist doctor can telematically "move" to the patient's site and instruct unspecialized personnel when handling an emergency or telemonitoring case. The performance of the system has been technically tested over several telecommunication means; in addition the system has been clinically validated in three different countries using a standardized medical protocol. A. 7 Future work

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My future research directions are briefly outlined below: Computational Intelligence in Medical Systems: Work will be continued in integrating the neural network architecture with dissimilar neurons with the visual attention ROI coding architecture and their use in medical video processing and analysis will be investigated. Furhter work will also be carried out in the following two topics: (i) Computational Inteligence Algorithms to Identify Multivariate Genotype to Phenotype Interactions in High Dimensional Genotypic and Phenotypic Datasets (F.13): Work is currently in progress to develop an efficient programming platform specifically designed to accommodate analyses of high dimensional genotypic and phenotypic datasets to discover associations. The platform is being used to develop algorithms that employ neural networks, genetic algorithms, kernel based methods and data mining to extract complex knowledge of how genes interact with each other and with disease phenotypes. The methods are being used within Glaxo Smith Kline a leading pharmaceutical company with large datasets on several diseases. (ii). Hybrid Multiobjective Evolutionary Algorithms in Small Molecule De Novo Design: De novo design, one of the most ambitious chemoinformatics tasks, strives to design molecules exclusively in silico that will provoke a desirable biological effect in vivo. Also known as molecular nanotechnology, the process employs all available chemical and biological information to construct computational models capturing the essence of a biological process and to rationally design molecules matching the model. We are developing a novel method that evolves molecular graphs using several operators inspired by natural behavior while taking into account domain knowledge to focus the search to biologically interesting regions of molecular space [C.111]. Ultrasound Imaging (F.9): This work will focus on the computation of motion trajectories in ultrasound videos of atherosclerotic plaques. Preliminary results indicate that motion trajectories follow the cardiac cycles, forcing motions from different parts of the plaque and arterial walls to appear in phase. Based on the periodicity of the motion, we found that a Fourier series, using a small number of harmonics, can approximate the periodic motion due to the cardiac motion cycle. Furthermore, plaque motion exhibited larger deviations and more abrupt changes than arterial wall motion [C.108], [C.109]. Endoscopy Imaging: Research work will be expanded to investigate the automated segmentation of hysteroscopy imaging of the endometrium, cervix, and ovary, and the subsequent texture analysis and differentiation between normal and abnormal tissue. Furthermore, a 3D reconstruction of the endometrium volume with ROI annotation will be investigated. This will allow the gynaecologist to navigate through the reconstructed organ and investigate further the tissue geometry and texture. Microscopy Imaging: A new biopsy image analysis support system based on active contours, formulated using the level set method, is being developed that will be applied to estimate the intensity of steroid receptors in cell nuclei, in sections from breast cancer biopsies, that have been labeled immunohistochemically. Steroid receptors provide important prognostic information which is necessary for managing breast cancer patients and for tailoring individual treatment. These findings will be combined with clinical and pathological data in order to define more accurate models for predicting survival rates. Biosignal Analysis: It will be investigated whether surface electromyography (SEMG) signals may be used to discriminate between normal subjects and subjects suffering with neuromuscular disorders based on the analysis and the normal values described in paragraph 5.3 above. Most importantly the usefulness of this analysis will be investigated in monitoring the progress of the disease and response to treatment. m-Health e-Emergency Systems (F.1): Growing demand for mobile and wireless e-Health e-Emergency applications supporting video streaming, has led into exploring different ways of providing satisfactory quality content to the expert physician. Given the error prone nature of these environments, the presence of these errors must be somehow concealed. Towards this direction, our effort will be focused on exploring numerous error resilience techniques developed over the past few years as these are standardised into video coding standards such as H.264/AVC-MPEG-4 part 10 [C.104]. Video coding standards incorporate a plethora of encoder-based error resilience techniques and decoder-based error concealment ones. In these systems, the availability of a back communication channel between the encoder and the decoder can help tackling error control more effectively as the codec can adapt to channel conditions. These technologies will be evaluated for the provision of QoS in the transmission of ultrasound video as well as video of the patient in emergency scenery. Concluding, it is anticipated that this research will continue the development of innovative information technology solutions in computational intelligence, medical imaging, biosignal analysis, and e-Health for the benefit of the citizen.

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APPENDIX B: REPRESENTATIVE PUBLICATIONS B.1 Computational Intelligence:

Y. Poirazi, C. Neokleous, C.S. Pattichis, C.N. Schizas, A Neural Network Architecture Inspired From the Modular Organization of the Cerebral Cortex, IEEE Transactions on Neural Networks, Vol. 15, No. 3, pp. 597-612, 2004. [J.28].

B.2 Medical Imaging:

C. Loizou, C.S. Pattichis, M. Pantzaris, T. Tyllis, A. Nicolaides, Plaque Segmentation of the Carotid Artery Bifurcation, submitted to IEEE Transactions on Information Technology in Biomedicine, Vol. 11, No. 6, pp. 661-667, 2007. [J.36]. C.I. Christodoulou, C.S. Pattichis, M. Pantziaris, A. Nicolaides, Texture-Based Classification of Atherosclerotic Carotid Plaques, IEEE Transactions on Medical Imaging, Vol. 22, No. 7, pp. 902-912, 2003. [J.24].

B.3 Biosignal Analysis: C.S. Pattichis, M.S. Pattichis, Time-Scale Analysis of Motor Unit Action Potentials, IEEE Transactions on Biomedical Engineering, Vol. 46, No. 11, pp. 1320-1329, 1999. [J.13].

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B.1 Computational Intelligence:

Y. Poirazi, C. Neokleous, C.S. Pattichis, C.N. Schizas, A Neural Network Architecture Inspired From the Modular Organization of the Cerebral Cortex, IEEE Transactions on Neural Networks, Vol. 15, No. 3, pp. 597-612, 2004. [J.28].

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B.2 Medical Imaging:

C. Loizou, C.S. Pattichis, M. Pantzaris, T. Tyllis, A. Nicolaides, Plaque Segmentation of the Carotid Artery Bifurcation, submitted to IEEE Transactions on Information Technology in Biomedicine, Vol. 11, No. 6, pp. 661-667, 2007. [J.35].

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B.2 Medical Imaging:

C.I. Christodoulou, C.S. Pattichis, M. Pantziaris, A. Nicolaides, Texture-Based Classification of Atherosclerotic Carotid Plaques, IEEE Transactions on Medical Imaging, Vol. 22, No. 7, pp. 902-912, 2003. [J.24].

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B.3 Biosignal Analysis: C.S. Pattichis, M.S. Pattichis, Time-Scale Analysis of Motor Unit Action Potentials, IEEE Transactions on Biomedical Engineering, Vol. 46, No. 11, pp. 1320-1329, 1999. [J.13].

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APPENDIX C: SELECTED CITATIONS This section contains citations that have been collected via a web search, mainly using the “Google-Scholar” in January 2007. It is not by any means an exhaustive list. Only citations by others are included. The first table lists the number of citations per research area, whereas the second table summarizes the number of citations appearing in journals, conferences, books, and other.

Categorized Citations No. of Citations Journal Citations 182 Conference Citations 69 Book Citations 19 Other 117 Total 387

C.1 Selected Citations for Archived Journal Papers

J.2 C.N. Schizas, C.S. Pattichis, S. Michaelides, Forecasting Minimum Temperature with short time-length Data using Artificial Neural Networks, Neural Networks World, VSP, Vol. 4, No. 2, pp. 219-230, 1994. In Journal Papers

1. H.R. Maier, G.C. Dandy, The use of artificial neural networks for the prediction of water-quality parameters, Water Resources Research, Vol. 32(4), pp. 1013-1022, 1996.

2. H.R. Maier and G.C. Dandy, Determining Inputs for Neural Network Models of Multivariate Time Series, Microcomputers in Civil Engineering - Journal of Computer-Aided Civil and Infrastructure Engineering, 12:353-368, 1997, Available http://hdl.handle.net/2440/1039

3. H.R. Maier, G.C. Dandy, Understanding the behavior and optimizing performance of backpropagation neural networks: an empirical-study, Environmental Modelling & Software, Vol. 13(2), pp. 179-191, 1998.

4. H.R. Maier, G.C. Dandy, The effect of internal parameters and geometry on the performance of backpropagation neural networks: an empirical-study, Environmental Modelling & Software, Vol. 13(2), pp. 193-209, 1998.

5. S. Trajković, Comparison of Prediction Models of Reference Crop Evapotranspiration, Architecture and Civil Engineering, Vol. 1(5), pp. 617-625, 1998.

6. S.I. Beale, Enzymes of chlorophyll biosynthesis, Photosynthesis Research. Vol. 60(1), pp. 43-73, 1999. 7. I.M. Schleiter, D. Borchardt, R. Wagner, T. Dapper, K.D. Schmidt, H.H. Schmidt, H. Werner, Modelling

water quality, bioindication and population dynamics in lotic ecosystems using neural networks, Ecological Modelling, Vol. 120, No. 2-3, pp. 271-286, 1999.

8. I.M. Schleiter, M. Obach, D. Borchardt and H. Werner, Bioindication of chemical and hydromorphological habitat characteristics with benthic macro-invertebrates based on Artificial Neural Networks, Aquatic Ecology, Vol. 35(2), pp. 147-158, Jun. 2001.

9. T.B. Trafalis, A.White, B. Santosa and M.B. Richman, Data Mining Techniques for Improved WSR- Rainfall Estimation, Comput Ind Eng., Vol. (4), pp. 775-786, Sep. 2002.

10. I. Zaheer and C.G. Bai, Application of Artificial Neural Network for Water Quality Management, Lowland Technology International, Vol 5(2), pp. 10-15, 2003.

Research Area No. of Citations Computational Intelligence in Medical Systems 28 Medical Image Analysis Systems: Ultrasound, Endoscopy, Microscopy 92 Biosignal Analysis Systems: Electromyography 128 Mobile e-Emergency Systems 64 Other 75 Total 387

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J.3 C.N. Schizas, C.S. Pattichis, C.A. Bonsett, Medical Diagnostic Systems: A Case for Neural Networks, Technology and Health Care, Vol. 2, pp. 1-18, 1994. In Journal Papers

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4. V. Antonelli F. Bernasconi, Y.H. Wong, L. Vallar, Actication of B-Raf and regulation of the mitogen-activated protein kinase pathway by th G(o) alpha chain, Molecular Biology of the Cell, Vol. 11(4), pp. 1129-1142, 2000.

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J.5 C.S. Pattichis, C.N. Schizas, L. Middleton, Neural Networks in EMG diagnosis, IEEE Transactions on Biomedical Engineering, Vol. 42, No. 5, pp. 486-496, 1995. In Journal Papers

1. E. Stalberg, S.D. Nandedkar, D.B. Sanders, B. Falck, Quantitative motor unit potential analysis, Journal of Clinical Neurophysiology, Vol. 13(5), pp. 401-422, 1996.

2. A.S. Jain, S. Meeran, Job-shop scheduling using neural networks, International Journal of Production Research, Vol. 36(5), pp. 1249-1272, 1998.

3. S.A. Kalogirou, et. al., Artificial neural networks for modeling the starting-up of a solar steam-generator, Applied Energy, Vol. 60(2), pp. 89-100, 1998.

4. G. Levy, P. Levine, J. Brennan, J.P. Lerner, A. Monteagudo, I.E. Timortritsch, Color Flow-Directed Doppler Studies of Ovarian Masses – Computer Analysis, Journal of Reproductive Medicine, Vol. 43(10), pp. 865-868, 1998.

5. F.A. Papadopoulou, A.A. Michou, S.M. Panas, I.B. Mavromatis, Classification of the EMG’s Recruitment Pattern Using Neural Networks, Journal of Intelligent Systems, Special Issue on Computational Intelligent Diagnostic Systems in Medicine, Vol. 8, No. 1-2, pp. 145-162, 1998.

6. S. Kaski, J. Kangas, T. Kohonen, Bibliography of Self-Organizing Map (SOM) Papers: 1981--1997, Neural Computing Surveys, Vol. 1: 102-350, 1998. Available in electronic form at http://www.icsi.berkeley.edu/~jagota/NCS/.

7. S. Micera, A.M. Sabatini, P. Dario, B. Rossi, A hibrid approach to EMG pattern analysis for classification of arm movements using statistical and fuzzy techniques, Medical Engineering & Physics, Vol. 21(5), pp. 303-311, 1999.

8. S.A. Kalogirou, Long-term prediction of forced circulation solar domestic water heating systems using artificial neural networks, Applied Energy, Vol. 66(1), pp. 63-74, 2000.

9. S.A. Kalogirou, S. Panteliou, Thermosiphon solar domestic water heating systems: Long-term performance prediction using artificial neural networks, Solar Energy, Vol. 69(2), pp. 163-174, 2000.

10. S.A. Kalogirou, M. Bojic, Artificial neural networks for the prediction of the energy consunption of a passive solar building, Energy, Vol. 25, No. 5, pp. 479-491, 2000.

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11. H. L. Choi, H. J. Byun, W. G. Song, J. W. Son, and J. T. Lim, On pattern classification of EMG signals for walking motions, Artificial Life and Robotics, 4:193–7, 2000.

12. D. Stashuk, EMG signal decomposition: how can it be accomplished and used?, Journal of Electromyography and Kinesiology, Vol. 11(3), pp. 151-173, 2001.

13. S. Kalogirou, M. Eftekhari and D. Pinnock, Artificial neural networks for predicting air flow in a naturally ventilated test room, Building Services Engineering Research and Technology, Vol. 22(2), pp. 83-93(11), May 2001.

14. A. A. Alonso, H. R. Sanchez, P. E. Hurtado, R. De la Rosa Steinz, L. Liptak, Entrenador mioeléctrico de prótesis para amputados de brazo y mano, Mapfre Medicina, Vol. 13(1), 2002.

15. S. C. Saxena SC, A. K. Wadhwani, Neuromuscular disease diagnostics using fuzzy concepts and EBP-NN based expert system. IETE Tech Rev, Vol. 19 (3), pp. 95-109, 2002.

16. P. Meesad, GG. Yen, Combined numerical and linguistic knowledge representation and its application to medical diagnosis, IEEE Transactions on System Man and Cybernetics Part A, Vol. 33 (2), pp. 206-222, 2003.

17. W. Lee, W. Karwowski, WS. Marras, D. Rodrick, A neuro-fuzzy model for estimating electromyographical activity of trunk muscles due to manual lifting, Ergonomics, Vol. 46 (1-3), pp. 285-309, 2003.

18. S. Kalogirou, M. Eftekhari and L. Marjanovic, Predicting the pressure coefficients in a naturally ventilated test room using artificial neural networks, Building and Environment, Vol. 38(3), pp. 399-407, Mar 2003.

19. WI. Schollhorn, Applications of artificial neural nets in clinical biomechanics, Clin Biomech, Vol. 19 (9), pp. 876-898, 2004.

20. X. Ren, X. Hu, Z. Wang and Z. Yan, MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition, Medical and Biological Engineering and Computing, Vol 44(5), pp. 371-382, May 2006.

In Books 21. G. D. Magoulas and A. Prentza, Machine Learning in Medical Applications, Springer Berlin /

Heidelberg, 2001. 22. J. Kamruzzaman, R. Begg, and R. Sarker, Overview of Artificial Neural Networks and their

Applications in Healthcare, Idea Group Inc., 2006. In Conference Proceedings

23. A. Doering and H. Witte, Combination of adaptive signal processing and neural classificationusing an extended backpropagation algorithm, Proceedings of the IEEE Workshop on Neural Networks for Signal Processing, pp. 296-305, Amelia Islands, FL, USA, 24-26 Sep, 1997.

24. E. Stalberg, Motor Unit Potential Analysis, Proceedings of the VI International Conference on Computerized and Quantitative EMG, Vigo, Spain, pp. 1-5, September 23-25, 1998.

25. S. Warren, , R.L. Craft, and J.T. Bosma, Designing Smart Health Care Technology into the Home of the Future, Workshops on Future Medical Devices: Home Care Technologies for the 21st Century, Rockville, MD (US), 6-9 Apr. 1999. URL: http://www.osti.gov/energycitations/servlets/purl/5696-vgouSU/webviewable/

26. G.D. Magoulas, A. Prentza, Machine Learning in Medical Applications, Proceedings of Workshop on Machine Learning in Medical Applications, Advance course in AI (ACAI99), Chania, Greece, July 1999. http://www.brunel.ac.uk/~csstgdm/ACAI99workshop.pdf.

27. S. Agarwal, Artificial Neural Networks for predicting cooling load in buildings in tropical countries, submitted at “Building Simulation 2003” the Biannual International Conference of International Building Performance Simulation Association on Building Simulation, Netherlands.

28. X. Ren, Z. Wang, X. Hu, Independent Component Analysis and Wavelet Decomposition Technique for the Detection of Motor Unit Action Potentials, In Proc. of the 27th Annual International Conference of Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp. 2687-2690, Shanghai 2005.

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J.6 C. Pattichis, C. Charalambous, L. Middleton, Efficient Training of Neural Network Models in the Classification of Electromyographic Data, Medical & Biological Engineering & Computing, Special Issue on Electrophysiological Modeling, Vol. 33, No. 3, pp. 499-503, 1995.

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In Journal Papers 1. T.B. Givens, P.J. Braun, Classification of Factor Deficiencies from Coagulation Assays Using Neural

Networks, International Journal of Medical Informatics,Vol. 46(3), pp. 129-143, 1997. 2. A. Kandaswamy, K. Sukesh, Recent trends in medical expert-systems, IEEE Technical Review, Vol.

14(3), pp. 205-210, 1997. 3. S. Micera, A. M. Sabatin, P. Dario, On automatic identification of upper-limb movements using small-

sized training sets of EMG Signals, Medical Engineering & Physics, Vol. 22(8), pp. 527-533, 2000. 4. W. I. Schollhorn, Applications of artificial neural nets in clinical biomechanics, Clin Biomech, Vol.

19 (9), pp. 876-898, 2004. J.7 C.S. Pattichis, and C.N. Schizas, Genetics-Based Machine Learning Models for the Diagnosis of Certain Neuromuscular Disorders, IEEE Transactions on Neural Networks, Vol. 7, No. 2, pp. 427-439, 1996. In Journal Papers

1. C.A. PenaReyes, M. Sipper, Evolutionary computation in medicine: an overview, Artificial Intelligence in Medicine, Vol. 19(1), pp. 1-23, 2000.

2. X.Y. Liu, M.X. Tang, J.H Frazer, Shape reconstruction by genetic algorithms and artificial neural networks, ENG Computation, Vol. 20 (1-2), pp. 129-151 2003.

3. W.I. Schollhorn, Applications of artificial neural nets in clinical biomechanics, Clin Biomech, Vol. 19 (9), pp. 876-898, 2004.

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6. M. Manic, B. Wilamowski, Robust algorithm for neural network training, Proceedings of the IJCNN '02 International Joint Conference on Neural Networks, vol.2, pp.1528-1533, 2002.

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9. J.T. Alander, An Indexed Bibliography of Genetic Algorithms in 1999, URL: http://citeseer.nj.nec.com/319835.html. (ResearchIndex - www.researchindex.com - NEC Research Institute 1997-2000). 10. Neural Networks Applications in Medicine and Health, Pacific Northwest National Laboratory, URL: http://www.emsl.pnl.gov:2080/proj/neuron/neural/bib/medicine.html#P.

J.8 F. Schnorrenberg, C.S. Pattichis, K. Kyriacou, M. Vassiliou, C.N. Schizas, Computer-aided Classification of Breast Cancer Nuclei, Technology and Health Care, Vol. 4, No. 2, pp. 147-161, 1996. In Journal Papers

1. V. Jakus, The concept and applications of artificial neural networks in medicine, Bratisl Lek Listy, 100 (11): 625.637, 1999.

2. R. Chamgoulov, P. Lane, C. MacAulay, Optical computed-tomographic microscope for three-dimensional quantitative histology, Cellular Oncology, Vol. 26, pp. 319-327, num. 5-6/2004.

3. C. Demir, S. H. Gultekin, B. Yener, Learning the Topological Properties of Brain Tumors, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 2(3), pp. 262-270, Jul-Sept, 2005.

4. B. Yener, C. Demir and S. H. Gultekin, Augmented Cell-graphs for Automated Cancer Diagnosis, BIOINFORMATICS, Vol. 21 Suppl. 2, pp 7-12, 2005.

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Polytechnic Institute, Dep. Of Com. Sci., TR-04-17, 2004. 6. C. Demir and B. Yener, Automated cancer diagnosis based on histopathological images: a systematic

survey, Rensselaer Polytechnic Institute, Dep. Of Com. Sci., TR-05-09, 2005. In the Web

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J.9 C.N. Schizas, C.S. Pattichis, Learning Systems in Biosignal Analysis, Biosystems, Vol. 41, pp. 105-125, 1997. In Journal Papers

1. M. Gaetz, G. L. Iverson, E. J. Rzempoluck, R. Remick, P. McLean, W. Linden, Self-organizing neural network analyses of cardiac data in depression, Neuropsychobiology, Vol. 49 (1), pp. 30-37, 2004.

J.10 F. Shnorrenberg, C.S. Pattichis, K.C. Kyriacou, C.N. Schizas, Computer-Aided Detection of Breast Cancer Nuclei, IEEE Transactions on Information Technology in Biomedicine, Vol. 1, No. 2, pp. 128-140, 1997. In Journal Papers

1. T.W. Nattkemper, H.J. Ritter, W. Schubert, A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections, IEEE Transactions on Information Technology in Biomedicine, Vol. 5(2), pp. 138-149, 2001.

2. H. Soltanian-Zadeh and K. Jafari-Khouzani, Multiwavelet grading of prostate pathological images, Proc. SPIE Int. Soc. Opt. Eng.,Vol. 4684, pp. 1130-1138, 2002.

3. S. Haque, D. Mital, S. Srinivasan, Advances in Biomedical Informatics for the Management of Cancer, Annals of the New York Academy of Sciences, 980:287-297, 2002.

4. K. Jafari-Khouzani, H. Soltanian-Zadeh, Multiwavelet grading of pathological images of prostate, IEEE Transactions on Biomedical Engineering, Vol. 50(6), pp. 697- 704, June 2003.

5. H. L. Tang, R. Hanka, H. H. S. Ip, Histological image retrieval based on semantic content analysis, IEEE Transactions on Information Technology in Biomedicine, Vol. 7(1), pp. 26- 36, Mar 2003.

6. T. W. Nattkemper, Multivariate image analysis in biomedicine, Journal of Biomedical Informatics, Vol. 37(5) , pp. 380-391, 2004.

7. S. S. Singh, D. Kim and J. L. Mohler, Java Web Start based software for automated quantitative nuclear analysis of prostate cancer and benign prostate hyperplasia, BioMedical Engineering OnLine, 4:31, 2005. URL: http://www.biomedical-engineering-online.com/content/4/1/31

8. S. Petushi, F. U. Garcia, M. M. Haber, C. Katsinis and A. Tozeren, Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer, BMC Medical Imaging 6:14, 2006.

9. A. Brook, R. El-Yaniv, E. Issler, R. Kimmel, R. Meir and D. Peleg, Breast Cancer Diagnosis From Biopsy Images Using Generic Features and SVMs, IEEE Transactions on Transactions on Information Technology in Biomedicine, Volume In press, 2007.

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SPIE Medical Imaging, San Diego, CA, February 2001. 11. T.W. Nattkemper, Automatic segmentation of digital micrographs: A survey, Proceedings of 11th

World Congress on Medical Informatics (MEDINFO), San Franzisco, USA, 2004. 12. S. Petushi, C. Katsinis, C. Coward, F. Garcia, A. Tozeren, Automated identification of microstructures

on histology slides, IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2004, Vol. 1, pp. 424- 427, 15-18 April 2004.

13. S. Kostopoulos, D. Cavouras, A. Daskalakis, P. Ravazoula and G. Nikiforidis, Image Analysis System ForAssessing The Estrogen Receptor’s Positive Status In Breast Tissue Carcinomas, in Proc. of ITAB 2006, International Special Topic Conference on Information Technology and Biomedicine, Ioannina - Epirus, Greece, October 28-28, 2006.

In the Web 14. M. Makinacı, Patalojik Goruntu Analizi: Normal ve Kanserli Prostat Hucre Çekirdeklerinin Gauss

Markov Rassal Alanlar Yontemi ile Modellenmesi ve Sınıflandırılması, URL: http://siu2001.emu.edu.tr/bildiriler/188.pdf

15. T. W. Nattkemper, Multivariate Image Analysis in Biomedicine - A Methodological Review, 2004. URL: http://www.techfak.uni-bielefeld.de/ags/ni/publications/media/Nattkemper2004-MIA.pdf

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J.11 C.I. Christodoulou, C.S. Pattichis, W.F. Fincham, A Modular Neural Network Decision Support System in EMG Diagnosis, Journal of Intelligent Systems, Special Issue on Computational Intelligent Diagnostic Systems in Medicine, Vol. 8, No. 12, pp. 99-143, 1998. In Books

1. H. Xie, H. Huang and Z. Wang, Advances in Natural Computation, Springer Berlin / Heidelberg, 2005.

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Decomposition, Waterloo, Ontario, Canada, 2006. J.12 C.I. Christodoulou, C.S. Pattichis, Unsupervised Pattern Recognition for the Classification of EMG Signals, IEEE Transactions on Biomedical Engineering, Vol. 46, No. 2, pp. 169-178, 1999. In Journal Papers

1. B. U. Kleine, J. H. Blok, R. Oostenveld, P. Praamstra, D. F. Stegeman, Magnetic stimulation-induced modulations of motor unit firings extracted from multi-channel surface EMG, Muscle & Nerve, Vol. 23(7), pp. 1005-1015, 2000.

2. H. L. Choi, H. J. Byun, W. G. Song, J. W. Son and J. T. Lim, On pattern classification of EMG signals for walking motions, Artificial Life and Robotics, Vol. 4(4), pp. 193-197, Dec, 2000.

3. S. H. Jung, Neuro-fuzzy recognition system for detecting wave patterns using wavelet coefficients, IEICE Transactions on Information and Systems, Vol. E84D, No. 8, pp. 1085-1093, 2001.

4. D. Stashuk, EMG signal decomposition: how can it be accomplished and used?, Journal of Electromyography and Kinesiology, Vol. 11(3), pp. 151-173, 2001.

5. H. L. Choi, H. J. Byun, W. G. Song, J. W. Son, J. T. Lim, On pattern classification of EMG signals for walking motions, Journal of Artificial Life and Robotics, Vol. 4(8), pp. 193-197, 2001.

6. K. C. McGill, Optimal resolution of superimposed action potentials, IEEE Transactions on Biomedical Engineering, Vol. 49(7), pp. 640-650, May 2002.

7. R. Boostani, M. H. Moradi, Evaluation of the forearm EMG signal features for the control of a prosthetic hand, Physiological Measurement, Vol. 24(2), pp. 309-319 May 2003.

8. E. Chauvet, O. Fokapu, J. Y. Hogrel, D. Gamet, J. Duchene, Automatic identification of motor unit action potential trains from electromyographic signals using fuzzy techniques, Medical & Biological Engineering & Computing, Vol. 41(6), pp. 646-653, Nov. 2003.

9. W. I. Schollhorn, Applications of artificial neural nets in clinical biomechanics, Clin Biomech, Vol. 19 (9), pp. 876-898, 2004.

10. H. Nakamura, M. Yoshida, M. Kotani, K. Akazawa, T. Morizani, The application of independent component analysis to the multi-channel surface electromyographic signals for separation of motor unit action potential trains: part I - measuring techniques, Journal of Electromyography and Kinesiology, Vol. 14 (4), pp. 423-432, 2004.

11. P. Zhou and W. Z. Rymer, An evaluation of the utility and limitations of counting motor unit action potentials in the surface electromyogram, Journal of Neural Engineering, 1 238-245, 2004.

12. B.S. Yang, W. W. Hwang, D. J. Kim, A. C. Tan, Condition classification of small reciprocating compressor for refrigerators using artificial neural networks and support vector machines, Mech Syst Signal PR, Vol. 19 (2), pp. 371-390, 2005.

13. X. Navarro, T. B. Krueger, N. Lago, S. Micera, T. Stieglitz, and P. Dario, A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems, Journal of the Peripheral Nervous System, 10 (3), 229–258, 2005.

14. X. Ren, X. Hu, Z. Wang and Z. Yan, MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition, Medical and Biological Engineering and Computing, Vol 44(5), pp. 371-382, May 2006.

15. C. J. De Luca, A. Adam, R. Wotiz, L. D. Gilmore and S. H. Nawab, Decomposition of Surface EMG Signals, Journal of Neurophysiology, 96: 1646-1657, 2006.

16. J. R. Florestal, P. A. Mathieu, and A. Malanda, Automated Decomposition of Intramuscular Electromyographic Signals, IEEE Transactions On Biomedical Engineering, Vol. 53(5), May 2006.

In Books 17. H. Malmgren, Artificial Neural Networks in Medicine and Biology, Springer, 2002. 18. R. B. Altman, A. K. Dunker, L. Hunter, K. Lauderdale, T. E. D. Klein, R. Altman, T. E. Klein,

Biocomputing 2002, World Scientific Publishing Company, 2002. 19. R. Merletti, Electromyography: Physiology, Engineering and Non-Invasive Applications, Wiley-IEEE

Press, 2004.

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In Conference Proceedings 20. R. Dybowski, Neural Computation in Medicine: Perspectives and Prospects, In H. Malmgreen et al.,

editor, Proceedings of the ANNIMAB-1 Conference (Artificial Neural Networks in Medicine and Biology), pages 26--36. Springer, 2000

21. H. Malmgren, M. Borga, L. F. Niklasson, Artificial Neural Networks in Medicine and Biology, Proceedings of the ANNIMAB-1 Conference, Goteborg, Sweden, 13-16 May, 2000.

22. X. Ren Z. Wang, X. Hu, Independent Component Analysis and Wavelet Decomposition Technique for the Detection of Motor Unit Action Potentials, In Proc. of the 27th Annual International Conference of Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp. 2687-2690, Shanghai 2005.

23. F. Vilarino, P. Spyridonos, J. Vitria and P. Radeva, Self Organized Maps for Intestinal Contractions Categorization with Wireless Capsule Video Endoscopy, The 3rd European Medical and Biological Engineering Conference EMBEC'05, Nov 20 – 25, Prague 2005.

In Thesis 24. V. Rama Raju, Computer Aided Electromyography, IIT, India, 2001. 25. D. Lolive, Classification non supervisee de contours melodiques modelises `a l’aide de filtres de Kalman,

Janvier 2005. In the web

26. http://engine.cqvip.com/content/N/94257X/2003/033/004/YY22_R2_8194191.pdf J.13 C.S. Pattichis, M.S. Pattichis, Time-Scale Analysis of Motor Unit Action Potentials, IEEE Transactions on Biomedical Engineering, Vol. 46, No. 11, pp. 1320-1329, 1999. In Journal Papers

1. N.S. Arikidis, E.W. Abel, A. Forster, Interscale wavelet maximum - A fine to coarse algorithm for wavelet analysis of the EMG interference pattern, IEEE Transactions on Biomedical Engineering, Vol. 49(4), pp. 337-344, 2002.

2. X. Navarro, T. B. Krueger, N. Lago, S. Micera, T. Stieglitz, P. Dario, A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems, Journal of the Peripheral Nervous System 10 (3), 229–258, 2005.

3. E.W. Abel, M. Hongying, A. Forster, D. Holder, Singularity characteristics of needle EMG IP signals, IEEE Transactions on Biomedical Engineering, , Vol. 53(2), pp. 219- 225, Feb. 2006.

4. D.Abi-Abdallah, E. Chauvet, L. Bouchet-Fakri, A. Bataillard, A. Briguet, and O. Fokapu, Reference signal extraction from corrupted ECG using wavelet decomposition for MRI sequence triggering: application to small animals, Biomed Eng Online, 5: 11, 2006.

5. M. B. I. Reaz, M. S. Hussain and F. Mohd-Yasin, Techniques of EMG signal analysis: detection, processing, classification and applications, Biological Procedures Online, 8(1): 11-35, 2006.

In Books 6. Paul S Addison, The Illustrated Wavelet Transform Handbook: Introductory, Theory and Applications

in Science, Engineering, Medicine and Finance, Napier University, Edinburgh, UK, IOP, 2002. 7. A. Papandreou-Suppappola, Applications in Time-Frequency Signal Processing, CRC, 2002

In Conference Proceedings 8. R. Dybowski, Neural computation in medicine: Perspectives and prospects, In Malmgren H, Borga M,

Niklasson L. (eds.) Proceedings of the ANNIMAB-1 Conference (Artificial Neural Networks in Medicine and Biology), pp. 26-36, Goteborg, 13-16 May 2000. Springer, 2000.

9. M. T. Tarata, G. Straude, W. Wolf, On the Dynamic Detection of M1 & M2 Stretch Reflex Activity, Craiova Medicala Vol. 5, Sup. 3 & CD-ROM Proceedings of the 1st MEDINF International Conference on Medical Informatics & Engineering, 12-15 October, Craiova, Romania, pp. 214-217, 2003.

In Thesis 10. V. Rama Raju, Computer Aided Electromyography, IIT, India, 2001.

J.14 C.S. Pattichis, A. Elias, Autoregressive and Cepstral Analysis of Motor Unit Action Potentials, Medical Engineering & Physics, Special Issue on Intelligent Data Analysis in Electromyography and Electroneurography, Vol. 21, No. 6/7, pp. 405-419, 1999. In Journal Papers

1. A.R. Allen, Editorial, Special Issue on Intelligent Data Analysis in Electromyography and Electroneurography, Medical Engineering & Physics,Vol. 21(8), 1999.

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2. E. Spinelli, C.J. Felice, M. Mayosky, J.C. Politti, M.E. Valentinuzzi, Propagation velocity measurement: autocorrelation technique applied to the electromyogram, Medical & Biological Engineering & Computing, Vol. 39(5), pp. 590-593, 2001.

3. C. Shirota, C. Itiki, Determinacao Da Ordem Na Modelagem Auto-Regressiva De Sinais Electromiograficos, Producao Em Iniciacao Cientifica Da Epusp, 2002.

4. C. Itiki, Dynamic Programming and Diagnostic Classification, Journal of Optimization Theory and Applications, Vol. 127(3), pp. 579-586, Dec. 2005.

5. N. F. GÜler and S. Koçer, Use of Support Vector Machines and Neural Network in Diagnosis of Neuromuscular Disorders, Journal of Medical Systems, Vol. 29(3), pp. 271-284, June 2005.

6. P Zhou, H Li, D Clelland, Pattern Recognition on Diesel Engine Working Conditions by Wavelet Kullback-Leibler Distance Method, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 219(9), pp. 879-887, 2005.

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9. Emrani, M. Sadat, Relationships Between Motor Unit Anatomical Characteristics and Motor Unit Potential Statistics in Healthy Muscles, 2005. URI: http://hdl.handle.net/10012/897

J.15 P.A. Panayiotou, D. Jenkins, C.S. Pattichis, F. Plimmer, Computer Assisted Valuation: Multiple Regression Analysis in Cyprus, Journal of Tax Assessment & Administration, Vol. 4, No. 2, pp. 27-51, 1999. In Conference Proceedings

1. S. M. Yu and A. Basuki, A Spatial Analysis of Singapore’s Industrial Property Values, 7th Asian Real Estate Society Conference, Seoul, Korea, 4-6 July, 2002.

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housing resale market in Singapore, Property Management, Vol. 23(5), pp. 357-373, 2005.URI: http://www.emeraldinsight.com/Insight/ViewContentServlet?Filename=Published/EmeraldFullTextArticle/Articles/1130230503.html

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1. N. F. Güler and S. Koçer, Classification of EMG Signals Using PCA and FFT, Journal of Medical Systems, Vol. 29(3), pp. 241-250, June, 2005.

J.18 M.S. Pattichis, C.S. Pattichis, M. Avraam, A. Borik, K. Kyriacou, AM-FM Texture Segmentation in Electron Microscopic Muscle Imaging, IEEE Transactions on Medical Imaging, Vol. 19, No. 12, pp. 1253-1258, 2000. In Journal Papers

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J.19 F. Schnorrenberg, C.S. Pattichis, K. Kyriacou, C.N. Schizas, Content-based Retrieval of Breast Cancer Biopsy Slides, Technology and Health Care, Vol. 8, pp. 291-297, 2000. In Journal Papers

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4. W. J. Gutowski, F. O. Otieno, R. W. Arritt, E. S. Takle, Z. Pan, Diagnosis and attribution of a seasonal precipitation deficit in a US regional climate simulation, Journal of Hydrometeorology, Vol. 5 (1), pp. 230-242, 2004.

5. M. Gevrey, F. Rimet, Y. S. Park, J. L. Giraudel, L. Ector, S. Lek, Water quality assessment using diatom assemblages and advanced modelling techniques, Freshwater Biology, Vol. 49(2), pp. 208-220, 2004.

6. R. Cano1, C. Sordo, and J. M. Gutierrez, Applications of Bayesian Networks in Meteorology, in Advances in Bayesian Networks, pp. 309-327, Springer, 2004.

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8. G. F. Lin, L. H. Chen, Time series forecasting by combining the radial basis function network and the self-organizing map, Hydrological Processes, Vol. 19(10), pp. 1925-1937, Feb. 2005.

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6. P. Kampstra, Evolutionary Computing in Telecommunication.s A likely EC success story, BMI Paper, Vrije Universiteit Amsterdam, Aug. 2005.

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J.39 F.S. Schnorrenberg, N. Tsapatsoulis, C.S. Pattichis, C.N. Schizas, S. Kollias, M. Vassiliou, A. Adamou, K. Kyriacou, Improved Detection of Breast Cancer Nuclei Using Modular Neural Networks, IEEE Engineering in Medicine and Biology Magazine, Special Issue on Classifying Patterns with Neural Networks, Vol. 19, No. 1, pp. 48-63, 2000.

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25. N. Tsapatsoulis and D. Vogiatzis, InUbiHealth: Intelligent Artefacts for Ubiquitous Health Monitoring, Proceedings of the 5th International Network Conference INC2005, Samos, Greece, July 2005.

26. S.K. Yoo, S.M. Jung, B.S. Kim, H.Y. Yun, S.R. Kim and D.K. Kim, Prototype Design of Mobile Emergency Telemedicine System, Proceedings Computational Science and Its Applications – ICCSA, pp. 1028-1034, 2005.

27. N. O’Donoughue, S. Kulkarni, D. Marzella, Design and Implementation of a Framework for Monitoring Patients in Hospitals Using Wireless Sensors in Ad Hoc Configuration, Proceedings of the 28th IEEE EMBS Annual Int. Conference, pp. 6449-6452, NY, USA, Aug 30-Sept 3, 2006.

28. D. Lucani, G. Cataldo, J. Cruz, G. Villegas, S. Wong, A portable ECG monitoring device with Bluetooth and Holter capabilities for telemedicine applications, Proceedings of the 28th IEEE EMBS Annual Int. Conference, pp. 5244-5247, NY, USA, Aug 30-Sept 3, 2006.

29. U. Varshney, Transmission of Emergency Messages in Wireless Patient Monitoring: Routing and Performance Evaluation, Proceedings of the 39th Annual Hawaii Int. Conference on System Sciences (HICSS'06), Trac 5, p.91a, 2006.

C.2 Selected Citations in Refereed Conference Proceedings

Selected Citations of Conference Papers Conference Paper No.

Conference Paper No. of Citations

D.30 C. Christodoulou, C.S. Pattichis, A New Technique in The Decomposition of EMG Signals, IEEE International Conference on Neural Networks, November 28 - December 2, Perth, Australia, Vol. 5, pp. 2303-2308, 1995.

6

D.37 A. Pitsillides, C. Pattichis, Y. A. Sekercioglu, and A. Vasilakos. Bandwidth allocation for virtual paths using evolutionary programming (EP-BAVP). Proceedings of the International Conference on Telecommunications ICT'97, pp. 1163-1168, Melbourne, Australia, April 1997.

9

D.46 A. Pitsillides, C.S. Pattichis, G. Stylianou, A. Sekercioglu, T. Vassilakos, Investigation of the Performance of EP-BAVP (Evolutionary Prorgamming for Virtual Path Bandwidth Allocation), International Conference of Telecommunications, Ghalkidiki, Greece, pp. 310-314, 1998.

6

D.51 C.I. Christodoulou, C.S. Pattichis, M. Pantziaris, T. Tegos, A. Nicolaides, T. Elatrozy, M. Sabetai, S. Dhanjil, Multi-feature texture analysis for the classification of carotid plaques, CD-ROM Proceedings of the International Joint Conference on Neural Networks, IJCNN '99, Washington DC, 10-16 July, 1999.

8

D.56 A. Pitsillides, G. Stylianou, C. Pattichis, A. Sekercioglu, A. Vasilakos, Bandwidth Allocation for Virtual Paths (BAVP): Investigation of Performance of Classical Constrained and Genetic Algorithm Based Optimisation Techniques, IEEE INFOCOM 2000, Tel Aviv, March 28-30, pp. 1501-1510, 2000.

18

D.65 E. Kyriacou, S. Pavlopoulos, D. Koutsouris, A.S. Andreou, C.S. Pattichis, C.N. Schizas, Multipurpose Health Care Telemedicine System, CD-ROM Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Constantinoupolis, Turkey, October 25-28, 4 pages, 2001.

7

D.67 C.S. Pattichis, M.S. Pattichis, E. Micheli-Tzanakou, Medical imaging fusion applications: An overview, CD-ROM Proceedings of the 35th Asilomar Conference on Signals, Systems, and Computers, Vol. 2, Monterey, California, USA, November 4-7, 5 pp. 1263-1267, 2001.

11

D.73 C. Loizou, C. Christodoulou, C. S. Pattichis, R. Istepanian, M. Pantziaris, A. Nicolaides, Speckle Reduction in Ultrasound Images of Atherosclerotic Carotid Plaque, DSP 2002. IEEE 14th

8

Resumé of Constantinos S. Pattichis

131

International Conference on Digital Signal Processing. July 1-3 2002, Santorini-Greece, Vol. 2, pp. 525-528.

Subtotal 73 Approximate number of citations of conference papers not listed 60 Total 133