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Vasilis D Tsakanikas

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|December 29, 2011
A novel semiautomated atherosclerotic plaque characterization method using grayscale intravascular ultrasound images: comparison with virtual histologyLambros S Athanasiou, Petros S Karvelis, Vasilis D Tsakanikas, 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 12, 2023
Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative studyDimitrios S Pleouras, Panagiotis K Siogkas, Vasilis D Tsakanikas, et al.
IEEE Journal of Biomedical and Health Informatics|December 8, 2025
Development of Machine Learning Models for Predicting Effectiveness and Adherence in Cardiac RehabilitationKonstantina-Helen Tsarapatsani, Vasilis D Tsakanikas, Boris Schmitz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Investigation of the significance of the plaque morphology evolution in plaque rupture events using computational biomechanicsDimitrios S Pleouras, Panagiotis K Siogkas, Vassiliki T Potsika, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cellsDimitrios S Pleouras, Michalis D Mantzaris, Panagiotis K Siogkas, 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 12, 2023
Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approachPanagiotis K Siogkas, Dimitrios S Pleouras, Vasilis D Tsakanikas, 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 12, 2023
A Machine Learning Model for the prediction of the progression of carotid arterial stenosesPanagiotis K Siogkas, Dimitrios S Pleouras, Vasilis D Tsakanikas, et al.
Magnetic Resonance Imaging|May 24, 2012
Novel methodology for 3D reconstruction of carotid arteries and plaque characterization based upon magnetic resonance imaging carotid angiography dataAntonis I Sakellarios, Kostas Stefanou, Panagiotis Siogkas, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|December 29, 2011
A novel semiautomated atherosclerotic plaque characterization method using grayscale intravascular ultrasound images: comparison with virtual histologyLambros S Athanasiou, Petros S Karvelis, Vasilis D Tsakanikas, 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 12, 2023
Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative studyDimitrios S Pleouras, Panagiotis K Siogkas, Vasilis D Tsakanikas, et al.
IEEE Journal of Biomedical and Health Informatics|December 8, 2025
Development of Machine Learning Models for Predicting Effectiveness and Adherence in Cardiac RehabilitationKonstantina-Helen Tsarapatsani, Vasilis D Tsakanikas, Boris Schmitz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Investigation of the significance of the plaque morphology evolution in plaque rupture events using computational biomechanicsDimitrios S Pleouras, Panagiotis K Siogkas, Vassiliki T Potsika, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cellsDimitrios S Pleouras, Michalis D Mantzaris, Panagiotis K Siogkas, 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 12, 2023
Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approachPanagiotis K Siogkas, Dimitrios S Pleouras, Vasilis D Tsakanikas, 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 12, 2023
A Machine Learning Model for the prediction of the progression of carotid arterial stenosesPanagiotis K Siogkas, Dimitrios S Pleouras, Vasilis D Tsakanikas, et al.
Magnetic Resonance Imaging|May 24, 2012
Novel methodology for 3D reconstruction of carotid arteries and plaque characterization based upon magnetic resonance imaging carotid angiography dataAntonis I Sakellarios, Kostas Stefanou, Panagiotis Siogkas, et al.
Pageof 1