Vasilis D. Tsakanikas

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 9

Top Topics

Machine Learning

Top Venues

Publications

Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis
Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI. BIBE (2023)
Dimitrios S. Pleouras, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, Fragiska Sigala, Dimitrios I. Fotiadis
Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative study. EMBC (2023)
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
A Machine Learning Model for the prediction of the progression of carotid arterial stenoses. EMBC (2023)
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
Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach. EMBC (2023)
Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vasilis D. Tsakanikas, George K. Matsopoulos, Winfried März, Marcus E. Kleber, Dimitrios I. Fotiadis
Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression. BHI (2022)
Dimitrios Pleouras, Michalis D. Mantzaris, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Antonis I. Sakellarios, Panagiota Tsompou, Fragiska Sigala, Dimitrios I. Fotiadis
Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells. EMBC (2022)
Vassiliki I. Kigka, Antonis I. Sakellarios, Michalis D. Mantzaris, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Domenico Palombo, Fabrizio Montecucco, Dimitrios I. Fotiadis
A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques. EMBC (2021)
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
. EMBC (2021)
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
A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. EMBC (2020)
Lambros S. Athanasiou, Petros S. Karvelis, Vasilis D. Tsakanikas, Katerina K. Naka, Lampros K. Michalis, Christos V. Bourantas, Dimitrios I. Fotiadis
A Novel Semiautomated Atherosclerotic Plaque Characterization Method Using Grayscale Intravascular Ultrasound Images: Comparison With Virtual Histology. IEEE Trans. Inf. Technol. Biomed. 16 (3) (2012)