2022
- V.C. Pezoulas, A. Liontos, E. Mylona, C. Papaloukas, O. Milionis, D. Biros, C. Kyriakopoulos, K. Kostikas, H. Milionis, D.I. Fotiadis (2022) “Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin”, 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- O.D. Papagiannopoulos, C. Papaloukas, V.C. Pezoulas, H.J.G. van de Werken, C. Poulet, Y.M. Mueller, P.D. Katsikis, D. de Seny, D.I. Fotiadis (2022) "Comparison of Proteomic Assay Methods in Autoinflammatory Disease Classification" IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
- V.C. Pezoulas, E. Mylona, C. Papaloukas, A. Liontos, D.I. Biros, O.I. Milionis, C. Kyriakopoulos, K. Kostikas, H. Milionis, D.I. Fotiadis (2022) "A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration", IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
2021
- A. Koloi, A.I. Sakellarios, V.C. Pezoulas, C. Papaloukas, M. Kleber, W. März, D.I. Fotiadis (2021) "Coronary Artery Stenosis Prediction using Machine Learning Algorithms", IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
2020
- K. Kourou, V. Pezoulas, E. Georga, Th. Exarchos, C. Papaloukas, M. Voulgarelis, A. Goules, A. Nezos, A.G. Tzioufas, Η.M. Moutsopoulos, C. Mavragani, D.I. Fotiadis (2020) "Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren's Syndrome Patients" IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 1: 49-56.
