Vasileios C Pezoulas (Vasileios Pezoulas)

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 6

Top Topics

Machine Learning

Left Ventricular

Top Venues

IEEE open journal of engineering in medicine and biology

JMIR medical informatics

This page only lists publications with an associated author ORCID identifier.

Publications

Matej Pičulin, Tim Smole, Bojan Žunkovič, Enja Kokalj, Marko Robnik-Šikonja, Matjaž Kukar, Dimitrios Ioannis Fotiadis, Vasileios C Pezoulas, Nikolaos S Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popovic, Lars Siegfried Maier, Lazar Velicki, Iacopo Olivotto, Guy A MacGowan, Djordje G Jakovljević, Nenad D Filipović, Zoran Bosnić
Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning. JMIR medical informatics 10 (2) (2022)
Vasileios C Pezoulas, Nikolaos S Tachos, George Gkois, Iacopo Olivotto, Fausto Barlocco, Dimitrios I Fotiadis
Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials. IEEE open journal of engineering in medicine and biology 3 (2022)
Vasileios C Pezoulas, Nikolaos S Tachos, George Gkois, Iacopo Olivotto, Fausto Barlocco, Dimitrios I Fotiadis
Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials. IEEE open journal of engineering in medicine and biology 3 (2022)
Dimitrios Pleouras, Antonis Sakelarios, George Rigas, Georgia S Karanasiou, Panagiota Tsompou, Gianna Karanasiou, Vassiliki Kigka, Savvas Kyriakidis, Vasileios C Pezoulas, George Gois, Nikolaos Tachos, Aidonis Ramos, Gualtiero Pelosi, Silvia Rocchiccioli, Lampros Michalis, Dimitrios I Fotiadis
A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for In Silico Clinical Trials of Stent Design. IEEE open journal of engineering in medicine and biology 2 (2021)
Konstantina D Kourou, Vasileios C Pezoulas, Eleni I Georga, Themis Exarchos, Costas Papaloukas, Michalis Voulgarelis, Andreas Goules, Andrianos Nezos, Athanasios G Tzioufas, Earalampos M Moutsopoulos, Clio Mavragani, Dimitrios I Fotiadis
Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren's Syndrome Patients. IEEE open journal of engineering in medicine and biology 1 (2020)
Vasileios C Pezoulas, Konstantina D Kourou, Fanis Kalatzis, Themis P Exarchos, Evi Zampeli, Saviana Gandolfo, Andreas Goules, Chiara Baldini, Fotini Skopouli, Salvatore De Vita, Athanasios G Tzioufas, Dimitrios I Fotiadis
Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning. IEEE open journal of engineering in medicine and biology 1 (2020)