Δημοσιεύσεις σε διεθνή επιστημονικά συνέδρια
- Pezoulas VC, Mylona E, Papaloukas C, Liontos A, Biros DI, Milionis OI, Kyriakopoulos C, Kostikas K, Milionis H, and Fotiadis DI. A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration. In Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Hotel du Lac, Ioannina, GR, September 27-30, 2022. DOI: https://doi.org/10.1109/
BHI56158.2022.9926889 - Pezoulas VC, Liontos A, Mylona E, Papaloukas C, Milionis O, Biros D, Kyriakopoulos C, Kostikas K, Milionis H, and Fotiadis DI. Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin. In Proceedings of the 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Scottish Event Campus, Glasgow, UK, July 11-15, 2022. DOI: https://doi.org/10.1109/
EMBC48229.2022.9871261 - Pezoulas VC, Exarchos TP, Tachos NS, Goules A, Tzioufas AG, and Fotiadis DI. Boosting the performance of MALT lymphoma classification in patients with primary Sjögren’s Syndrome through data augmentation: a case study. In Proceedings of the 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), International Convention Center, Sydney, AU, July 24-27, 2023. (Pending DOI)
- Pezoulas VC, Ehret G, Bosch J, Fotiadis DI, and Sakellarios A. Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression. In Proceedings of the 2023 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, Pennsylvania, US, October 15-18, 2023. (Pending DOI)
- Zaridis DI, Mylona E, Tachos NS, Kalantzopoulos C, Mairas K, Tsiknakis M, Koutsouris D, Matsopoulos GK, and Fotiadis DI. Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate’s Transition Zone Segmentation. Accepted for publication in the 23rd IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 4 – 6 December, 2023
- Tassi S, Polyzos KD, Fotiadis DI, and Sakellarios A. Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. Accepted for presentation in the Workshop on Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics (MABM 2023), 5-8 December, Istanbul, Turkey, 2023
- Pezoulas VC, Goules A, Tzioufas AG, and Fotiadis DI. An explainable and trustworthy AI framework for federated learning: a case study in rare autoimmune diseases. Accepted for presentation in the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, Hilton, Malta, December 7-9, 2023
- Zaridis DI, Mylona E, Tachos NS, Kalantzopoulos C, Pezoulas VC, Marias K, Tsiknakis M, and Fotiadis DI. Assessing the Robustness of nnU-Net in the Detection of Prostate Lesions via Bi-Parametric MRI. Accepted for presentation in the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, Hilton, Malta, December 7-9, 2023
- Konstantakopoulos F, Georga E, Revelou P, Giannakopoulos A, Kanellou A, and Fotiadis DI. A Deep Ensembled Model for Multiclass Semantic Segmentation of Food Images. Under review in the 16th IEEE/ACM International Conference on Utility and Cloud Computing and 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Taormina (Messina), Italy, December 4-7, 2023
- Pezoulas VC, Kalatzis F, Gkois G, Zaridis D, Androutsos C, Konstantakopoulos F, Gergidis LN, and Fotiadis DI. Precision medicine through health data integration: the PRECIOUS example. Under review in the 1st IEEE EMBS-Tunisia Forum on Global Healthcare Innovations, Tunisia, Dec 19 and 20, 2023
