Discrimination of Preictal and Interictal Brain States from Long-Term EEG Data. - Kostas M. Tsiouris; Vasileios C. Pezoulas; Dimitrios D. Koutsouris; Michalis E. Zervakis; Dimitrios I. Fotiadis (CBMS, 2017)

FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. - Vasileios C. Pezoulas; Alkinoos Athanasiou; Guido Nolte; Michalis E. Zervakis; Antonio Fratini; Dimitrios I. Fotiadis; Manousos A. Klados (BHI, 2018)

Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome. - Vasileios C. Pezoulas; Themis P. Exarchos; Vassiliki Andronikou; Theodora A. Varvarigou; Athanasios G. Tzioufas; Salvatore de Vita; Dimitrios I. Fotiadis (EMBC, 2018)

A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics. - Vasileios C. Pezoulas; Konstantina D. Kourou; Themis P. Exarchos; Vassiliki Andronikou; Theodora A. Varvarigou; Athanasios G. Tzioufas; Salvatore de Vita; Dimitrios I. Fotiadis (SWH@ISWC, 2018)

A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals. - Kostas M. Tsiouris; Vasileios C. Pezoulas; Michalis E. Zervakis; Spiros Konitsiotis; Dimitrios D. Koutsouris; Dimitrios I. Fotiadis (Comput. Biol. Medicine, 2018)

A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease. - 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 (BIBE, 2019)

Generation of Virtual Patients for in Silico Cardiomyopathies Drug Development. - Vasileios C. Pezoulas; Nikolaos S. Tachos; Dimitrios I. Fotiadis (BIBE, 2019)

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles. - Vasileios C. Pezoulas; Themis P. Exarchos; Athanasios G. Tzioufas; Salvatore de Vita; Dimitrios I. Fotiadis (EMBC, 2019)

Medical data quality assessment: On the development of an automated framework for medical data curation. - 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 (Comput. Biol. Medicine, 2019)

Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral Clustering. - Vasileios C. Pezoulas; Kostas Michalopoulos; Manousos A. Klados; Sifis Micheloyannis; Nikolaos G. Bourbakis; Michalis E. Zervakis (IEEE J. Biomed. Health Informatics, 2019)

Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study. - Vasileios C. Pezoulas; Grigorios I. Grigoriadis; Nikolaos S. Tachos; Fausto Barlocco; Iacopo Olivotto; Dimitrios I. Fotiadis (EMBC, 2020)

Prediction of atherosclerotic disease progression combining computational modelling with machine learning. - 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 (EMBC, 2020)

Towards the development of a unified virtual population model in hypertrophic cardiomyopathy. - 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 (BHI, 2021)

A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures. - 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 (BHI, 2021)

Comparison of three U-Net family architectures for left ventricular myocardial wall automatic segmentation. - Grigoris I. Grigoriadis; Maria Roumpi; Dimitrios G. Zaridis; Vasileios C. Pezoulas; Aidonis Rammos; Nikolaos S. Tachos; Katerina K. Naka; Dimitrios I. Fotiadis (EMBC, 2021)

Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study. - Vasileios C. Pezoulas; Themis P. Exarchos; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (EMBC, 2021)

Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study. - Vasileios C. Pezoulas; Grigorios I. Grigoriadis; Nikolaos S. Tachos; Fausto Barlocco; Iacopo Olivotto; Dimitrios I. Fotiadis (EMBC, 2021)

A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts. - Vasileios C. Pezoulas; Fanis G. Kalatzis; Themis P. Exarchos; Luke Chatzis; Saviana Gandolfo; Andreas Goules; Salvatore de Vita; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (EMBC, 2021)

A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. - 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; et al. (Comput. Biol. Medicine, 2021)

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. - 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; et al. (Comput. Biol. Medicine, 2021)

Comparison of Proteomic Approaches in Autoinflammatory Disease Classification. - 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 (BHI, 2022)

A federated AI-empowered platform for disease management across a Pan-European data driven hub. - Vasileios C. Pezoulas; Fanis G. Kalatzis; Themis P. Exarchos; Antreas Goules; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (BHI, 2022)

A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration. - Vasileios C. Pezoulas; Eugenia Mylona; Costas Papaloukas; Angelos Liontos; Dimitrios I. Biros; Orestis I. Milionis; Chris Kyriakopoulos; Kostantinos Kostikas; Haralampos Milionis; Dimitrios I. Fotiadis (BHI, 2022)

Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm. - Vasileios C. Pezoulas; Pashupati P. Mishra; Olli T. Raitakari; Mika Kähönen; Terho Lehtimäki; Dimitrios I. Fotiadis; Antonis I. Sakellarios (BHI, 2022)

Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression. - Konstantina Tsarapatsani; Antonis I. Sakellarios; Vasileios C. Pezoulas; Vasilis D. Tsakanikas; George K. Matsopoulos; Winfried März; Marcus E. Kleber; Dimitrios I. Fotiadis (BHI, 2022)

Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. - 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 (BHI, 2022)

Segmentation of left atrium using CT images and a deep learning model. - 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 (EMBC, 2022)

Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin. - Vasileios C. Pezoulas; Angelos Liontos; Eugenia Mylona; Costas Papaloukas; Orestis I. Milionis; Dimitrios I. Biros; Chris Kyriakopoulos; Kostantinos Kostikas; Haralampos Milionis; Dimitrios I. Fotiadis (EMBC, 2022)

A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures. - Vasileios C. Pezoulas; Nikolaos S. Tachos; Iacopo Olivotto; Fausto Barlocco; Dimitrios I. Fotiadis (EMBC, 2022)

Machine Learning Models for Cardiovascular Disease Events Prediction. - Konstantina Tsarapatsani; Antonis I. Sakellarios; Vasileios C. Pezoulas; Vassilis D. Tsakanikas; Marcus E. Kleber; Winfried März; Lampros K. Michalis; Dimitrios I. Fotiadis (EMBC, 2022)

ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. - 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 (Comput. Biol. Medicine, 2022)

Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles. - 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; et al. (CoRR, 2022)

Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression. - Vasileios C. Pezoulas; Georg Ehret; Jos A. Bosch; Dimitrios I. Fotiadis; Antonis I. Sakellarios (BHI, 2023)

LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece. - Eleftherios Trivizakis; Vassilios Aidonis; Vasileios C. Pezoulas; Yorgos Goletsis; Nikolaos Oikonomou; Ioannis Stefanis; Leoni Chondromatidou; Dimitrios I. Fotiadis; Manolis Tsiknakis; Kostas Marias (EANN, 2023)

Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study. - Vasileios C. Pezoulas; Themis P. Exarchos; Nikolaos S. Tachos; Andreas Goules; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (EMBC, 2023)

In silico drug delivery modeling of a novel Everolimus Coated Balloon. - 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 (EMBC, 2024)

Towards the development of a FAIR-compliant biomedical ontology for colorectal cancer. - Vasileios C. Pezoulas; Christos Androutsos; Dimitrios I. Fotiadis (EMBC, 2024)

The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data. - Vasileios C. Pezoulas; Georg Ehret; Kevin Dobretz; Dimitrios I. Fotiadis; Antonis I. Sakellarios (EMBC, 2024)

FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. - Vasileios C. Pezoulas; Fanis G. Kalatzis; Themis P. Exarchos; Andreas Goules; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (Patterns, 2024)

MDCG 2019-16 Guidelines: Case Study-Based Assessment and Path Forward. - Christos Androutsos; Steve Taylor 002; Karin Bernsmed; Andrea Neverdal Skytterholm; Gregory Epiphaniou; Nabil Moukafih; Theodoros N. Arvanitis; Sotiris Messinis; Nikolaos Papadakis; Marco Fruscione; Andrés Castillo; Dusko Milojevic; et al. (EICC, 2025)

Large-Scale Radiomics Analysis for Prostate Cancer Detection Harnessing Machine and Deep Learning Models. - Eugenia Mylona; Dimitrios I. Zaridis; Charalampos Kalantzopoulos; Vasileios C. Pezoulas; Nikolaos S. Tachos; George K. Matsopoulos; Daniele Regge; Nikolaos Papanikolaou 003; Manolis Tsiknakis; Kostas Marias; Dimitrios I. Fotiadis (ISBI, 2025)