Themis P. Exarchos

Themis P. Exarchos was born in Ioannina, Greece (1980). He received the Diploma Degree in Computer Engineer¬ing and Informatics from the Engineering School of the University of Patras (2003). He received the PhD degree from the University of Ioannina (2009); his PhD thesis is entitled “Data Mining and Healthcare Decision Support System.” He is a member of the Unit of Medical Technology and Intelligent Information Systems at the University of Ioannina, working in Research and Technology Development projects. His research interests include data mining, decision support systems in healthcare, biomedical applications including biomedical imaging and bioinformatics. Dr. Exarchos is the author of more than fifty papers in scientific journals and conference proceedings.

Publications

Computer Predictive Model for Plaque Formation and Progression in the Artery
Nenad Filipovic, Milos Radovic, Dalibor D. Nikolic, Igor Saveljic, Zarko Milosevic, Themis P. Exarchos, Gualtiero Pelosi, Dimitrios I. Fotiadis, Oberdan Parodi. © 2019. 26 pages.
In this chapter we described predictive model for plaque formation and progression in the coronary and carotid artery. A full three-dimensional model for plaque formation and...
Computer Predictive Model for Plaque Formation and Progression in the Artery
Nenad Filipovic, Milos Radovic, Dalibor D. Nikolic, Igor Saveljic, Zarko Milosevic, Themis P. Exarchos, Gualtiero Pelosi, Dimitrios I. Fotiadis, Oberdan Parodi. © 2016. 22 pages.
In this chapter we described predictive model for plaque formation and progression in the coronary and carotid artery. A full three-dimensional model for plaque formation and...
Integration of Clinical and Genomic Data for Decision Support in Cancer
Yorgos Goletsis, Themis P. Exarchos, Nikolaos Giannakeas, Markos G. Tsipouras, Dimitrios I. Fotiadis. © 2011. 10 pages.
In this article, we address decision support for cancer by exploiting clinical data and identifying mutations on tumour suppressor genes. The goal is to perform data integration...
Decision Support Systems for Cardiovascular Diseases Based on Data Mining and Fuzzy Modelling
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios I. Fotiadis, Aris Bechlioulis. © 2010. 11 pages.
The widespread availability of new computational methods and tools for data analysis and predictive modelling requires medical informatics researchers and practitioners to...
Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Themis P. Exarchos, Athanasios Papadopoulos, Dimitrios I. Fotiadis. © 2009. 598 pages.
Biomedical imaging enables physicians to evaluate areas of the body not normally visible, helping to diagnose and examine disease in patients. The Handbook of Research on...
ECG Diagnosis Using Decision Support Systems
Themis P. Exarchos, Costas Papaloukas, Markos G. Tsipouras, Yorgos Goletsis, Dimitrios I. Fotiadis, Lampros K. Michalis. © 2009. 11 pages.
ECG is one of the most common signals used in medical practice due to its noninvasive nature and the information it contains. Several systems and various automated approaches...
Decision Support Systems for Cardiovascular Diseases Based on Data Mining and Fuzzy Modelling
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios I. Fotiadis, Aris Bechlioulis, Katerina K. Naka. © 2008. 9 pages.
This article addresses the decision support regarding cardiovascular diseases, using computer-based methods, focusing on the coronary artery disease (CAD) diagnosis and on the...
Integration of Clinical and Genomic Data for Decision Support in Cancer
Yorgos Goletsis, Themis P. Exarchos, Nikolaos Giannakeas, Markos G. Tsipouras, Dimitrios I. Fotiadis. © 2008. 9 pages.
In this article, we address decision support for cancer by exploiting clinical data and identifying mutations on tumour suppressor genes. The goal is to perform data integration...
ECG Diagnosis Using Decision Support Systems
Themis P. Exarchos, Costas Papaloukas, Markos G. Tsipouras, Yorgos Goletsis, Dimitrios I. Fotiadis, Lampros K. Michalis. © 2008. 11 pages.
ECG is one of the most common signals used in medical practice due to its noninvasive nature and the information it contains. Several systems and various automated approaches...
ECG Diagnosis Using Decision Support Systems
Themis P. Exarchos, Costas Papaloukas, Markos G. Tsipouras, Yorgos Goletsis, Dimitrios I. Fotiadis, Lampros K. Michalis. © 2006. 12 pages.
ECG is one of the most common signals used in medical practice due to its noninvasive nature and the information it contains. Several systems and various automated approaches...