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Themis P Exarchos

Showing results (61-70 of 112) with videos related to

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Sensors (Basel, Switzerland)|January 22, 2022
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning ProcessesMarios G Krokidis, Georgios N Dimitrakopoulos, Aristidis G Vrahatis, et al.
International Journal of Molecular Sciences|May 7, 2025
AlphaFold3: An Overview of Applications and Performance InsightsMarios G Krokidis, Dimitrios E Koumadorakis, Konstantinos Lazaros, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|July 18, 2008
Automated diagnosis of coronary artery disease based on data mining and fuzzy modelingMarkos G Tsipouras, Themis P Exarchos, Dimitrios I Fotiadis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Data mining for blood glucose prediction and knowledge discovery in diabetic patients: the METABO diabetes modeling and management systemEleni Georga, Vasilios Protopappas, Alejandra Guillen, et al.
Computers in Biology and Medicine|January 29, 2016
Prediction of time dependent survival in HF patients after VAD implantation using pre- and post-operative dataKonstantina Kourou, George Rigas, Konstantinos P Exarchos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohortsVasileios C Pezoulas, Fanis Kalatzis, Themis P Exarchos, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|June 6, 2012
Patient-specific prediction of coronary plaque growth from CTA angiography: a multiscale model for plaque formation and progressionOberdan Parodi, Themis P Exarchos, Paolo Marraccini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Prediction of coronary atherosclerosis progression using dynamic Bayesian networksKonstantinos P Exarchos, Themis P Exarchos, Christos V Bourantas, et al.
Expert Review of Cardiovascular Therapy|June 21, 2014
Currently available methodologies for the processing of intravascular ultrasound and optical coherence tomography imagesLambros Athanasiou, Antonis I Sakellarios, Christos V Bourantas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Computational estimation of the hemodynamic significance of coronary stenoses in arterial branches deriving from CCTA: A proof-of-concept studyPanagiotis K Siogkas, George Rigas, Themis P Exarchos, et al.
Pageof 12

Showing results (61-70 of 112) with videos related to

Sort By:
Pageof 12
Sensors (Basel, Switzerland)|January 22, 2022
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning ProcessesMarios G Krokidis, Georgios N Dimitrakopoulos, Aristidis G Vrahatis, et al.
International Journal of Molecular Sciences|May 7, 2025
AlphaFold3: An Overview of Applications and Performance InsightsMarios G Krokidis, Dimitrios E Koumadorakis, Konstantinos Lazaros, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|July 18, 2008
Automated diagnosis of coronary artery disease based on data mining and fuzzy modelingMarkos G Tsipouras, Themis P Exarchos, Dimitrios I Fotiadis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Data mining for blood glucose prediction and knowledge discovery in diabetic patients: the METABO diabetes modeling and management systemEleni Georga, Vasilios Protopappas, Alejandra Guillen, et al.
Computers in Biology and Medicine|January 29, 2016
Prediction of time dependent survival in HF patients after VAD implantation using pre- and post-operative dataKonstantina Kourou, George Rigas, Konstantinos P Exarchos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohortsVasileios C Pezoulas, Fanis Kalatzis, Themis P Exarchos, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|June 6, 2012
Patient-specific prediction of coronary plaque growth from CTA angiography: a multiscale model for plaque formation and progressionOberdan Parodi, Themis P Exarchos, Paolo Marraccini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Prediction of coronary atherosclerosis progression using dynamic Bayesian networksKonstantinos P Exarchos, Themis P Exarchos, Christos V Bourantas, et al.
Expert Review of Cardiovascular Therapy|June 21, 2014
Currently available methodologies for the processing of intravascular ultrasound and optical coherence tomography imagesLambros Athanasiou, Antonis I Sakellarios, Christos V Bourantas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Computational estimation of the hemodynamic significance of coronary stenoses in arterial branches deriving from CCTA: A proof-of-concept studyPanagiotis K Siogkas, George Rigas, Themis P Exarchos, et al.
Pageof 12