Vasileios C. Pezoulas

发表

A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics

Dimitrios I. Fotiadis, Theodora A. Varvarigou, Themis P. Exarchos, 2018, SWH@ISWC.

A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals

Michalis E. Zervakis, Dimitrios I. Fotiadis, Dimitrios D. Koutsouris, 2018, Comput. Biol. Medicine.

Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study

Nikolaos S. Tachos, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Medical data quality assessment: On the development of an automated framework for medical data curation

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2019, Comput. Biol. Medicine.

Dealing with Open Issues and Unmet Needs in Healthcare Through Ontology Matching and Federated Learning

Themis P. Exarchos, Vasileios C. Pezoulas, Athanasios G. Tzioufas, 2020 .

FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data

Michalis E. Zervakis, Dimitrios I. Fotiadis, Guido Nolte, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren’s Syndrome using gradient boosting tree ensembles

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Prediction of atherosclerotic disease progression combining computational modelling with machine learning

Antonis I. Sakellarios, Katerina K. Naka, Dimitrios I. Fotiadis, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Medical data sharing

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2020 .

Medical data harmonization

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2020 .

Discrimination of Preictal and Interictal Brain States from Long-Term EEG Data

Michalis E. Zervakis, Dimitrios I. Fotiadis, Dimitrios D. Koutsouris, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Towards the Establishment of a Biomedical Ontology for the Primary Sjögren’s Syndrome

Dimitrios I. Fotiadis, Theodora A. Varvarigou, Themis P. Exarchos, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Machine learning and data analytics

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2020 .

Utilizing Incremental Learning for the Prediction of Disease Outcomes Across Distributed Clinical Data: A Framework and a Case Study

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2019, IFMBE Proceedings.

Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2020, IEEE Open Journal of Engineering in Medicine and Biology.

Cloud infrastructures for data sharing

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2020 .

Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study

Dimitrios I. Fotiadis, Nikolaos S. Tachos, Vasileios C. Pezoulas, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures

Dimitrios I. Fotiadis, Femke Lamers, Vasileios C. Pezoulas, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts

Dimitrios I. Fotiadis, Themis P. Exarchos, Vasileios C. Pezoulas, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Towards the development of a unified virtual population model in hypertrophic cardiomyopathy

Dimitrios I. Fotiadis, Nenad Filipovic, Nikolaos S. Tachos, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

A tissue classification approach for brain tumor segmentation using MRI

George C. Giakos, Michalis Zervakis, Georgios Zarifis, 2017, 2017 IEEE International Conference on Imaging Systems and Techniques (IST).