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Vasileios C. Pezoulas
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Journal Articles
- 2024
- [j7]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): 100893 (2024) - 2022
- [j6]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:
ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. Comput. Biol. Medicine 141: 105176 (2022) - 2021
- [j5]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: 104520 (2021) - [j4]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
:
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 135: 104648 (2021) - 2019
- [j3]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: 270-283 (2019) - [j2]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): 1710-1719 (2019) - 2018
- [j1]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: 24-37 (2018)
Conference and Workshop Papers
- 2023
- [c28]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: 1-4 - [c27]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: 315-327 - [c26]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: 1-4 - 2022
- [c25]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: 1-4 - [c24]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: 1-4 - [c23]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: 1-4 - [c22]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: 1-4 - [c21]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: 1-4 - [c20]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:
Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. BHI 2022: 1-4 - [c19]Vasileios C. Pezoulas
, Angelos Liontos
, Eugenia Mylona
, Costas Papaloukas, Orestis I. Milionis, Dimitrios I. 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: 1020-1023 - [c18]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: 1049-1052 - [c17]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: 1066-1069 - [c16]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: 3839-3842 - 2021
- [c15]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: 1-4 - [c14]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: 1-4 - [c13]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: 1666-1669 - [c12]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: 1670-1673 - [c11]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: 1674-1677 - [c10]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: 2932-2935 - 2020
- [c9]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: 2760-2763 - [c8]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: 5343-5346 - 2019
- [c7]Vasileios C. Pezoulas
, Nikolaos S. Tachos
, Dimitrios I. Fotiadis:
Generation of Virtual Patients for in Silico Cardiomyopathies Drug Development. BIBE 2019: 671-674 - [c6]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: 706-709 - [c5]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: 2165-2168 - 2018
- [c4]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: 96-99 - [c3]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: 4089-4092 - [c2]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 - 2017
- [c1]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: 318-323
Coauthor Index
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