Vasileios C. Pezoulas
Orcid: 0000-0002-1872-693X
According to our database1,
Vasileios C. Pezoulas
authored at least 35 papers
between 2017 and 2024.
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Bibliography
2024
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets.
Patterns, January, 2024
2023
Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece.
Proceedings of the Engineering Applications of Neural Networks, 2023
Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
2022
ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints.
Comput. Biol. Medicine, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
A federated AI-empowered platform for disease management across a Pan-European data driven hub.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy.
Comput. Biol. Medicine, 2021
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, 2021
A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Comparison of three U-Net family architectures for left ventricular myocardial wall automatic segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Towards the development of a unified virtual population model in hypertrophic cardiomyopathy.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Prediction of atherosclerotic disease progression combining computational modelling with machine learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral Clustering.
IEEE J. Biomed. Health Informatics, 2019
Medical data quality assessment: On the development of an automated framework for medical data curation.
Comput. Biol. Medicine, 2019
Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals.
Comput. Biol. Medicine, 2018
A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics.
Proceedings of the First International Workshop on Semantic Web Technologies for Health Data Management, 2018
Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017