Vasileios C. Pezoulas

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Cardiovascular Disease

Constrained Spectral Clustering

Machine Learning

Top Venues

Comput. Biol. Medicine

Publications

Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. Patterns 5 (1) (2024)
Eleftherios Trivizakis, Vassilios Aidonis, Vasileios C. Pezoulas, Yorgos Goletsis, Nikolaos Oikonomou, Ioannis Stefanis, Leoni Chondromatidou, Dimitrios I. Fotiadis, Manolis Tsiknakis, Kostas Marias
LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece. EANN (2023)
Vasileios C. Pezoulas, Themis P. Exarchos, Nikolaos S. Tachos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study. EMBC (2023)
Vasileios C. Pezoulas, Georg Ehret, Jos A. Bosch, Dimitrios I. Fotiadis, Antonis I. Sakellarios
Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression. BHI (2023)
Vasileios C. Pezoulas, Konstantina D. Kourou, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis
ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. Comput. Biol. Medicine 141 (2022)
Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vassilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Lampros K. Michalis, Dimitrios I. Fotiadis
Machine Learning Models for Cardiovascular Disease Events Prediction. EMBC (2022)
Vasileios C. Pezoulas, Angelos Liontos, Eugenia Mylona, Costas Papaloukas, Orestis I. Milionis, Dimitrios Biros, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis
Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin. EMBC (2022)
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
Comparison of Proteomic Approaches in Autoinflammatory Disease Classification. BHI (2022)
Vasileios C. Pezoulas, Nikolaos S. Tachos, Iacopo Olivotto, Fausto Barlocco, Dimitrios I. Fotiadis
A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures. EMBC (2022)
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)
Vasileios C. Pezoulas, Pashupati P. Mishra, Olli T. Raitakari, Mika Kähönen, Terho Lehtimäki, Dimitrios I. Fotiadis, Antonis I. Sakellarios
Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm. BHI (2022)
Panagiota I. Tsompou, Vassiliki T. Potsika, N. Petrovic, Vasileios C. Pezoulas, Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Dimitrios Pleouras, Michalis Papafaklis, Sotiris Nikopoulos, Antonis I. Sakellarios, Dimitrios I. Fotiadis
Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. BHI (2022)
Vasileios C. Pezoulas, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios I. Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis
A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration. BHI (2022)
Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Antreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
A federated AI-empowered platform for disease management across a Pan-European data driven hub. BHI (2022)
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
Segmentation of left atrium using CT images and a deep learning model. EMBC (2022)
Vasileios C. Pezoulas, Themis P. Exarchos, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study. EMBC (2021)
Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Luke Chatzis, Saviana Gandolfo, Andreas Goules, Salvatore de Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts. EMBC (2021)
Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis
Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study. EMBC (2021)
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
Towards the development of a unified virtual population model in hypertrophic cardiomyopathy. BHI (2021)
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
A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures. BHI (2021)
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
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 134 (2021)
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 Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 135 (2021)
Grigoris I. Grigoriadis, Maria Roumpi, Dimitrios G. Zaridis, Vasileios C. Pezoulas, Aidonis Rammos, Nikolaos S. Tachos, Katerina K. Naka, Dimitrios I. Fotiadis
Comparison of three U-Net family architectures for left ventricular myocardial wall automatic segmentation. EMBC (2021)
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
Prediction of atherosclerotic disease progression combining computational modelling with machine learning. EMBC (2020)
Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis
Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study. EMBC (2020)
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
A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease. BIBE (2019)
Vasileios C. Pezoulas, Nikolaos S. Tachos, Dimitrios I. Fotiadis
Generation of Virtual Patients for in Silico Cardiomyopathies Drug Development. BIBE (2019)
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
Medical data quality assessment: On the development of an automated framework for medical data curation. Comput. Biol. Medicine 107 (2019)
Vasileios C. Pezoulas, Themis P. Exarchos, Athanasios G. Tzioufas, Salvatore de Vita, Dimitrios I. Fotiadis
Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles. EMBC (2019)
Vasileios C. Pezoulas, Kostas Michalopoulos, Manousos A. Klados, Sifis Micheloyannis, Nikolaos G. Bourbakis, Michalis E. Zervakis
Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral Clustering. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Kostas M. Tsiouris, Vasileios C. Pezoulas, Michalis E. Zervakis, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis
A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals. Comput. Biol. Medicine 99 (2018)
Vasileios C. Pezoulas, Themis P. Exarchos, Vassiliki Andronikou, Theodora A. Varvarigou, Athanasios G. Tzioufas, Salvatore de Vita, Dimitrios I. Fotiadis
Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome. EMBC (2018)
Vasileios C. Pezoulas, Alkinoos Athanasiou, Guido Nolte, Michalis E. Zervakis, Antonio Fratini, Dimitrios I. Fotiadis, Manousos A. Klados
FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. BHI (2018)
Vasileios C. Pezoulas, Konstantina D. Kourou, Themis P. Exarchos, Vassiliki Andronikou, Theodora A. Varvarigou, Athanasios G. Tzioufas, Salvatore de Vita, Dimitrios I. Fotiadis
A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics. SWH@ISWC (2018)
Kostas M. Tsiouris, Vasileios C. Pezoulas, Dimitrios D. Koutsouris, Michalis E. Zervakis, Dimitrios I. Fotiadis
Discrimination of Preictal and Interictal Brain States from Long-Term EEG Data. CBMS (2017)