Vasilis D. Tsakanikas

12 papers C 1Journal 2Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development of Machine Learning Models for Predicting Effectiveness and Adherence in Cardiac Rehabilitation.
IEEE J. Biomed. Health Informatics
Konstantina-Helen Tsarapatsani, Vasilis D. Tsakanikas, Boris Schmitz, Antonis I. Sakellarios, Manuela Sestayo-Fernández, Carlos Peña-Gil, George K. Matsopoulos, Dimitrios I. Fotiadis
2024 — conf
Investigation of the significance of the plaque morphology evolution in plaque rupture events using computational biomechanics.
EMBC
Dimitrios S. Pleouras, Panagiotis K. Siogkas, Vassiliki T. Potsika, Vasilis D. Tsakanikas, Sokratis S. Dimos, Michalis D. Mantzaris, Igor Koncar, Dimitrios I. Fotiadis
2023 — conf
A Machine Learning Model for the prediction of the progression of carotid arterial stenoses.
EMBC
Panagiotis K. Siogkas, Dimitrios S. Pleouras, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Kostas M. Tsiouris, Antonis I. Sakellarios, Evdokia Karamouzi, Foteini Lagiou, George Charalampopoulos, George Galyfos, Fragiska Sigala, Igor Koncar, Dimitrios I. Fotiadis
2023 — conf
Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative study.
EMBC
Dimitrios S. Pleouras, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, Fragiska Sigala, Dimitrios I. Fotiadis
2023 — conf
Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach.
EMBC
Panagiotis K. Siogkas, Dimitrios S. Pleouras, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, George Charalampopoulos, George Galyfos, Fragiska Sigala, Dimitrios I. Fotiadis
2023 C conf
Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI.
BIBE
Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis
2022 — conf
Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression.
BHI
Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vasilis D. Tsakanikas, George K. Matsopoulos, Winfried März, Marcus E. Kleber, Dimitrios I. Fotiadis
2022 — conf
Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells.
EMBC
Dimitrios Pleouras, Michalis D. Mantzaris, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Antonis I. Sakellarios, Panagiota Tsompou, Fragiska Sigala, Dimitrios I. Fotiadis
2021 — conf
A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques.
EMBC
Vassiliki I. Kigka, Antonis I. Sakellarios, Michalis D. Mantzaris, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Domenico Palombo, Fabrizio Montecucco, Dimitrios I. Fotiadis
2021 — conf
Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis
EMBC
Michalis D. Mantzaris, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Dimitrios Pleouras, Antonis I. Sakellarios, Georgios Karagiannis, George Galyfos, Fragiska Sigala, Nikolaos Liasis, Marija Jovanovic, Igor Koncar, Michael Kallmayer, Dimitrios I. Fotiadis
2020 — conf
A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging.
EMBC
Vasilis D. Tsakanikas, Panagiotis K. Siogkas, Michalis D. Mantzaris, Vassiliki T. Potsika, Vassiliki I. Kigka, Themis P. Exarchos, Igor Koncar, Marija Jovanovic, Aleksandra Vujcic, Stefan Ducic, Jaroslav Pelisek, Dimitrios I. Fotiadis
2012 J jnl
A Novel Semiautomated Atherosclerotic Plaque Characterization Method Using Grayscale Intravascular Ultrasound Images: Comparison With Virtual Histology.
IEEE Trans. Inf. Technol. Biomed.
Lambros S. Athanasiou, Petros S. Karvelis, Vasilis D. Tsakanikas, Katerina K. Naka, Lampros K. Michalis, Christos V. Bourantas, Dimitrios I. Fotiadis