Α collection of scholarly works that showcase the department’s research contributions and scientific achievements. These publications represent the culmination of rigorous research, critical thinking, and innovative problem-solving by our esteemed faculty members, researchers, and students. Furthermore, it serves as a testament to the collaborative nature of the department’s research efforts. Publications resulting from partnerships and collaborations with other institutions, both domestic and international, are prominently featured. This highlights the department’s dedication to fostering global collaborations and the exchange of ideas, ultimately fostering innovation and driving the field forward.

  • T. Androutsou, S. Angelopoulos, E. Hristoforou, G.K. Matsopoulos, and D.D. Koutsouris, “Automated Multimodal Stress Detection in Computer Office Workspace”, Electronics, vol. 12, no. 2528, pp. 1-21, 2023.

  • L. Pan, T. Vagenas, C. Sachpekidis, T. Economopoulos, A. Dimitrakopoulou-Strauss, A. Provata, G. Matsopoulos, "Whole-body FDG PET uptake decision support system for the identification of metastatic melanoma metastases", Αnnual Congress of the European Association of Nuclear Medicine, 15-19 Oct 2022, Eur J Nucl Med Mol Imaging 49 (Suppl 1), 1–751 (2022).

  • “ΣΥΓΧΡΟΝΕΣ ΤΕΧΝΟΛΟΓΙΕΣ & ΕΦΑΡΜΟΓΕΣ ΤΗΣ ΨΗΦΙΑΚΗΣ ΥΓΕΙΑΣ”, Δ.Δ. Κουτσούρης, Ο. Πετροπούλου, Α. Αναστασίου & Γ. Ματσόπουλος, Αθήνα: Κάλλιπος, Ανοικτές Ακαδημαϊκές Εκδόσεις, 2022.

  • A. Karampasi, K. Gkiatis, I. Kakkos, K. Garganis, G.K. Matsopoulos, “Advances in Artificial Intelligence for the Identification of Epileptiform Discharges”, Chapter 1, in “Handbook of Artificial Intelligence in Healthcare”, Lim CP., Vaidya A., Jain K., Mahorkar V.U., Jain L.C. (Eds), vol. 211, pp. 3-25, Springer, 2022.

  • S.T. Miloulis, I. Kakkos, A. Athanasiou, G.K. Matsopoulos, and D, Koutsouris, “Application of Artificial Intelligence Towards Successful Ageing: A Holistic Approach”, Chapter 10 in Modern Challenges and Approaches to Humanitarian Engineering, Y. Koumpouros, A. Georgoulas and G. Kremmyda, (Eds.), pp. 172-193, 2022.

  • Y. Sun, Z. Zhang, I. Kakkos, G.K. Matsopoulos, J. Yuan, J. Suckling, L. Xu, S. Cao, W. Chen, X. Hu, T. Li, K. Sim, P. Qi, and Yu Sun, “Inferring the Individual Psychopathologic Deficits with Structural Connectivity in a Longitudinal Cohort of Schizophrenia”, IEEE Journal of Biomedical Health Informatics, vol. 26, no. 6, pp. 2536-2546, 2022.

  • A. Mentzelopoulos, I. Karanasiou, M. Papathanasiou, N. Kelekis, V. Kouloulias, and G.K. Matsopoulos, “A Comparative Analysis of White Matter Structural Networks on SCLC Patients after Chemotherapy”, Brain Topography, vol. 35, pp. 352-362, 2022.

  • D.S. Zareifi, O. Chaliotis, N. Chala, N. Meimetis, M. Sofotasiou, K. Zeakis, E. Pantiora, A. Vezakis, G.K. Matsopoulos, G. Fragulidis, and L.G. Alexopoulos, “A network-based computational and experimental framework for repurposing compounds toward the treatment of non-alcoholic fatty liver disease”, iScience, vol. 25, no. 3, pp. 1-20, 2022.

  • A.D. Savva, G.K. Matsopoulos and G.D. Mitsis, “A Wavelet-Based Method for Estimating Time-Varying Connectivity in Resting-State fMRI”, Brain Connectivity, vol. 12, no. 3, pp. 285-298, 2022.

  • A.I. Korda, E. Ventouras, P. Asvestas, M. Toumaian, G.K. Matsopoulos, N. Smyrnis, “The Use of Convolutional Network Propagation on Electroencephalographic Scalograms for Detection of Schizophrenia”, Clinical Neurophysiology, vol. 139, pp. 90-105, 2022.