Vasileios C. Pezoulas

42 papers B 1C 3Journal 9Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Large-Scale Radiomics Analysis for Prostate Cancer Detection Harnessing Machine and Deep Learning Models. ISBI Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Kalantzopoulos, Vasileios C. Pezoulas, Nikolaos S. Tachos, George K. Matsopoulos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis
2025	—	`conf`	MDCG 2019-16 Guidelines: Case Study-Based Assessment and Path Forward. EICC Christos Androutsos, Steve Taylor, Karin Bernsmed, Andrea Neverdal Skytterholm, Gregory Epiphaniou, Nabil Moukafih, Theodoros N. Arvanitis, Sotiris Messinis, Nikolaos Papadakis, Marco Fruscione, Andrés Castillo, Dusko Milojevic, Dimitrios S. Karas, Nikolaos Fotos, Max Ostermann, Oscar Freyer, Stephen Gilbert, Vasileios C. Pezoulas, Lambros M. Athanasiou, George Gkois, Dimitrios I. Fotiadis
2025	J	`jnl`	Synthetic Data Blueprint (SDB): A modular framework for the statistical, structural, and graph-based evaluation of synthetic tabular data. CoRR Vasileios C. Pezoulas, Nikolaos S. Tachos, Eleni I. Georga, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis
2024	J	`jnl`	FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. Patterns Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
2024	—	`conf`	In silico drug delivery modeling of a novel Everolimus Coated Balloon. EMBC Grigorios G. Kotoulas, Vasileios S. Loukas, Georgia S. Karanasiou, Antonis I. Sakellarios, Vasileios C. Pezoulas, Christos C. Katsouras, Lambros K. Michalis, Arsen Semertzioglou, Anargyros Moulas, Liesbet Geris, Dimitrios I. Fotiadis
2024	—	`conf`	The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data. EMBC Vasileios C. Pezoulas, Georg Ehret, Kevin Dobretz, Dimitrios I. Fotiadis, Antonis I. Sakellarios
2024	—	`conf`	Towards the development of a FAIR-compliant biomedical ontology for colorectal cancer. EMBC Vasileios C. Pezoulas, Christos Androutsos, Dimitrios I. Fotiadis
2023	—	`conf`	Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study. EMBC Vasileios C. Pezoulas, Themis P. Exarchos, Nikolaos S. Tachos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
2023	—	`conf`	Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression. BHI Vasileios C. Pezoulas, Georg Ehret, Jos A. Bosch, Dimitrios I. Fotiadis, Antonis I. Sakellarios
2023	C	`conf`	LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece. EANN Eleftherios Trivizakis, Vassilios Aidonis, Vasileios C. Pezoulas, Yorgos Goletsis, Nikolaos Oikonomou, Ioannis Stefanis, Leoni Chondromatidou, Dimitrios I. Fotiadis, Manolis Tsiknakis, Kostas Marias
2022	—	`conf`	A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures. EMBC Vasileios C. Pezoulas, Nikolaos S. Tachos, Iacopo Olivotto, Fausto Barlocco, Dimitrios I. Fotiadis
2022	—	`conf`	A federated AI-empowered platform for disease management across a Pan-European data driven hub. BHI Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
2022	—	`conf`	A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration. BHI Vasileios C. Pezoulas, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios I. Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis
2022	—	`conf`	Comparison of Proteomic Approaches in Autoinflammatory Disease Classification. BHI Orestis D. Papagiannopoulos, Costas Papaloukas, Vasileios C. Pezoulas, Harmen J. G. van de Werken, Christophe Poulet, Yvonne M. Mueller, Peter D. Katsikis, Dominique de Seny, Dimitrios I. Fotiadis
2022	—	`conf`	Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. BHI Panagiota I. Tsompou, Vassiliki T. Potsika, Nikola Jovica Petrovic, Vasileios C. Pezoulas, Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Dimitrios Pleouras, Michail I. Papafaklis, Sotiris Nikopoulos, Antonis I. Sakellarios, Dimitrios I. Fotiadis
2022	J	`jnl`	ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. Comput. Biol. Medicine Vasileios C. Pezoulas, Konstantina D. Kourou, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios I. Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis
2022	—	`conf`	Machine Learning Models for Cardiovascular Disease Events Prediction. EMBC Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vassilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Lampros K. Michalis, 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`	Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm. BHI Vasileios C. Pezoulas, Pashupati P. Mishra, Olli T. Raitakari, Mika Kähönen, Terho Lehtimäki, Dimitrios I. Fotiadis, Antonis I. Sakellarios
2022	—	`conf`	Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin. EMBC Vasileios C. Pezoulas, Angelos Liontos, Eugenia Mylona, Costas Papaloukas, Orestis I. Milionis, Dimitrios I. Biros, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis
2022	—	`conf`	Segmentation of left atrium using CT images and a deep learning model. EMBC Grigoris I. Grigoriadis, Dimitrios G. Zaridis, Vasileios C. Pezoulas, Sotiris Nikopoulos, Antonis I. Sakellarios, Nikolaos S. Tachos, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis
2022	J	`jnl`	Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles. CoRR Dimitrios G. Boucharas, Christos Androutsos, George Gkois, Vassilis D. Tsakanikas, Vasileios C. Pezoulas, Dimitrios Manousos, Vasileios Skaramagkas, Chariklia Chatzaki, Stathis Kontogiannis, Christos C. Spandonidis, Alexandros K. Pantazis, Nikolaos S. Tachos, Manolis Tsiknakis, Dimitrios I. Fotiadis
2021	J	`jnl`	A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. Comput. Biol. Medicine Vasileios C. Pezoulas, Grigoris I. Grigoriadis, George Gkois, Nikolaos S. Tachos, Tim Smole, Zoran Bosnic, Matej Piculin, Iacopo Olivotto, Fausto Barlocco, Marko Robnik-Sikonja, Djordje G. Jakovljevic, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
2021	—	`conf`	A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts. EMBC Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Luke Chatzis, Saviana Gandolfo, Andreas Goules, Salvatore de Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
2021	—	`conf`	A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures. BHI Vasileios C. Pezoulas, Antonis I. Sakellarios, Marcus E. Kleber, Jos A. Bosch, Sander W. Van der Laan, Femke Lamers, Terho Lehtimäki, Winfried März, Dimitrios I. Fotiadis
2021	J	`jnl`	A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine Tim Smole, Bojan Zunkovic, Matej Piculin, Enja Kokalj, Marko Robnik-Sikonja, Matjaz Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popovic, Lars Maier, Lazar U. Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic
2021	—	`conf`	Comparison of three U-Net family architectures for left ventricular myocardial wall automatic segmentation. EMBC Grigoris I. Grigoriadis, Maria Roumpi, Dimitrios G. Zaridis, Vasileios C. Pezoulas, Aidonis Rammos, Nikolaos S. Tachos, Katerina K. Naka, Dimitrios I. Fotiadis
2021	—	`conf`	Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study. EMBC Vasileios C. Pezoulas, Themis P. Exarchos, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
2021	—	`conf`	Towards the development of a unified virtual population model in hypertrophic cardiomyopathy. BHI Grigoris I. Grigoriadis, Vasileios C. Pezoulas, Maria Roumpi, George Gkois, Nikolaos S. Tachos, Momcilo Prodanovic, Danica Prodanovic, Boban S. Stojanovic, Srboljub M. Mijailovich, Nenad Filipovic, Dimitrios I. Fotiadis
2021	—	`conf`	Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study. EMBC Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis
2020	—	`conf`	Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study. EMBC Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis
2020	—	`conf`	Prediction of atherosclerotic disease progression combining computational modelling with machine learning. EMBC Antonis I. Sakellarios, Vasileios C. Pezoulas, Christos V. Bourantas, Katerina K. Naka, Lampros K. Michalis, Patrick W. Serruys, Gregg Stone, Hector M. Garcia-Garcia, Dimitrios I. Fotiadis
2019	C	`conf`	A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease. BIBE Michalis D. Mantzaris, Evangelos Andreakos, Dimitrios I. Fotiadis, Vassiliki T. Potsika, Panagiotis K. Siogkas, Vassiliki Kigka, Vasileios C. Pezoulas, Ioannis G. Pappas, Themis P. Exarchos, Igor Koncar, Jaroslav Pelisek
2019	J	`jnl`	Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral Clustering. IEEE J. Biomed. Health Informatics Vasileios C. Pezoulas, Kostas Michalopoulos, Manousos A. Klados, Sifis Micheloyannis, Nikolaos G. Bourbakis, Michalis E. Zervakis
2019	C	`conf`	Generation of Virtual Patients for in Silico Cardiomyopathies Drug Development. BIBE Vasileios C. Pezoulas, Nikolaos S. Tachos, Dimitrios I. Fotiadis
2019	J	`jnl`	Medical data quality assessment: On the development of an automated framework for medical data curation. Comput. Biol. Medicine Vasileios C. Pezoulas, Konstantina D. Kourou, Fanis G. Kalatzis, Themis P. Exarchos, Aliki Venetsanopoulou, Evi Zampeli, Saviana Gandolfo, Fotini Skopouli, Salvatore de Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
2019	—	`conf`	Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles. EMBC Vasileios C. Pezoulas, Themis P. Exarchos, Athanasios G. Tzioufas, Salvatore de Vita, Dimitrios I. Fotiadis
2018	—	`conf`	A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics. SWH@ISWC Vasileios C. Pezoulas, Konstantina D. Kourou, Themis P. Exarchos, Vassiliki Andronikou, Theodora A. Varvarigou, Athanasios G. Tzioufas, Salvatore de Vita, Dimitrios I. Fotiadis
2018	J	`jnl`	A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals. Comput. Biol. Medicine Kostas M. Tsiouris, Vasileios C. Pezoulas, Michalis E. Zervakis, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis
2018	—	`conf`	FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. BHI Vasileios C. Pezoulas, Alkinoos Athanasiou, Guido Nolte, Michalis E. Zervakis, Antonio Fratini, Dimitrios I. Fotiadis, Manousos A. Klados
2018	—	`conf`	Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome. EMBC Vasileios C. Pezoulas, Themis P. Exarchos, Vassiliki Andronikou, Theodora A. Varvarigou, Athanasios G. Tzioufas, Salvatore de Vita, Dimitrios I. Fotiadis
2017	B	`conf`	Discrimination of Preictal and Interictal Brain States from Long-Term EEG Data. CBMS Kostas M. Tsiouris, Vasileios C. Pezoulas, Dimitrios D. Koutsouris, Michalis E. Zervakis, Dimitrios I. Fotiadis