location_onAmphi 125
Conférence plénière

Towards Human-Centric Trustworthy AI: Insights from the FAITH EU Flagship Project

calendar_today 2 avril 2026
schedule 9h00–10h00
Intervenants
Vazilis PezoulasUniversity of Ioannina
Dimitrios FotiadisUniversity of Ioannina
Biographie
Dimitrios Fotiadis
Professeur d'ingénierie biomédicale, directeur du MedLab
Dimitrios I. Fotiadis est professeur d'ingénierie biomédicale au département des Sciences des Matériaux et de l'Ingénierie de l'Université de Ioannina et directeur de l'Unité MedLab. Ses recherches couvrent la modélisation multiéchelle des tissus humains, les dispositifs intelligents portables, le traitement des données médicales massives et l'apprentissage automatique. Rédacteur en chef de l'IEEE Journal of Biomedical and Health Informatics de 2017 à 2024, il compte plus de 500 articles dans des revues à comité de lecture (h-index 86, 36 000+ citations).
open_in_newProfil académique
Résumé
Résumé à venir
Bibliographie sélective
  • Tsiouris, Κ. Μ., Pezoulas, V. C., Zervakis, M., Konitsiotis, S., Koutsouris, D., Fotiadis, D. I. (2018). A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals. Computers in Biology and Medicine, 99, 24–37. https://doi.org/10.1016/j.compbiomed.2018.05.019
  • Pezoulas, V. C., Zaridis, D. I., Mylona, E., Androutsos, C., Apostolidis, K., Tachos, N. S., Fotiadis, D. I. (2024). Synthetic data generation methods in healthcare: A review on open-source tools and methods. Computational and Structural Biotechnology Journal, 23, 2892–2910. https://doi.org/10.1016/j.csbj.2024.07.005
  • Pezoulas, V. C., Κούρου, Κ., Kalatzis, F., Exarchos, T. P., Venetsanopoulou, A. I., Zampeli, E., Gandolfo, S., Skopouli, F. N., Vita, S. D., Tzioufas, A. G., Fotiadis, D. I. (2019). Medical data quality assessment: On the development of an automated framework for medical data curation. Computers in Biology and Medicine, 107, 270–283. https://doi.org/10.1016/j.compbiomed.2019.03.001
  • Goules, A. V., Argyropoulou, O. D., Pezoulas, V. C., Chatzis, L., Critselis, E., Gandolfo, S., Ferro, F., Binutti, M., Donati, V., Callegher, S. Z., Venetsanopoulou, A. I., Zampeli, E., Mavrommati, M., Voulgari, P. V., Exarchos, T. P., Mavragani, C. P., Baldini, C., Skopouli, F. N., Fotiadis, D. I., ... Tzioufas, A. G. (2020). Primary Sjögren’s Syndrome of Early and Late Onset: Distinct Clinical Phenotypes and Lymphoma Development. Frontiers in Immunology, 11, 594096–594096. https://doi.org/10.3389/fimmu.2020.594096
  • Chatzis, L., Stergiou, I. Ε., Goules, A. V., Pezoulas, V. C., Tsourouflis, G., Fotiadis, D. I., Tzioufas, A. G., Voulgarelis, M. (2021). Clinical picture, outcome and predictive factors of lymphoma in primary Sjögren’s syndrome: results from a harmonized dataset (1981–2021). Lara D. Veeken, 61(9), 3576–3585. https://doi.org/10.1093/rheumatology/keab939
  • Tzioufas, A. G., Bakasis, A., Goules, A. V., Bitzogli, K., Cinoku, I. I., Chatzis, L., Argyropoulou, O. D., Venetsanopoulou, A. I., Mavrommati, M., Stergiou, I. Ε., Pezoulas, V. C., Voulgari, P. V., Katsimpari, C., Katechis, S., Gazi, S., Katsifis, G., Sfontouris, C., Georgountzos, A., Liossis, S. C., ... Moutsopoulos, H. Μ. (2021). A prospective multicenter study assessing humoral immunogenicity and safety of the mRNA SARS-CoV-2 vaccines in Greek patients with systemic autoimmune and autoinflammatory rheumatic diseases. Journal of Autoimmunity, 125, 102743–102743. https://doi.org/10.1016/j.jaut.2021.102743
  • Κούρου, Κ., Exarchos, T. P., Exarchos, K., Karamouzis, M. V., Fotiadis, D. I. (2014). Machine learning applications in cancer prognosis and prediction. Computational and Structural Biotechnology Journal, 13, 8–17. https://doi.org/10.1016/j.csbj.2014.11.005
  • Tzallas, A. T., Tsipouras, M. G., Fotiadis, D. I. (2009). Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis. IEEE Transactions on Information Technology in Biomedicine, 13(5), 703–710. https://doi.org/10.1109/titb.2009.2017939
  • Tsiouris, Κ. Μ., Pezoulas, V. C., Zervakis, M., Konitsiotis, S., Koutsouris, D., Fotiadis, D. I. (2018). A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals. Computers in Biology and Medicine, 99, 24–37. https://doi.org/10.1016/j.compbiomed.2018.05.019
  • Tzallas, A. T., Tsipouras, M. G., Fotiadis, D. I. (2007). Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks. Computational Intelligence and Neuroscience, 2007, 1–13. https://doi.org/10.1155/2007/80510
  • Tsiknakis, N., Theodoropoulos, D., Manikis, G. C., Ktistakis, E., Boutsora, O., Bertó, A., Scarpa, F., Scarpa, A., Fotiadis, D. I., Marias, K. (2021). Deep learning for diabetic retinopathy detection and classification based on fundus images: A review. Computers in Biology and Medicine, 135, 104599–104599. https://doi.org/10.1016/j.compbiomed.2021.104599
  • Voltairas, P., Fotiadis, D. I., Michalis, L. K. (2002). Hydrodynamics of magnetic drug targeting. Journal of Biomechanics, 35(6), 813–821. https://doi.org/10.1016/s0021-9290(02)00034-9