• I. Zorzos, I. Kakkos, S.T. Miloulis, A. Anastasiou, E.M. Ventouras, and G.K. Matsopoulos, “Applying Neural Networks with time-frequency features for the Detection of Mental Fatigue”, Applied Sciences, vol. 13, no. 1512, pp. 1-13, 2023.

  • T.P. Vagenas, T.L. Economopoulos, C. Sachpekidis, A. Dimitrakopoulou-Strauss, L. Pan, A. Provata, and G.K. Matsopoulos, “A Decision Support System for the Identification of Metastases of Metastatic Melanoma using whole body FDG PET/CT images”, IEEE Journal of Biomedical Health Informatics, vol. 27, no. 3, pp. 1397-1408, 2023.

  • G.N. Dimitrakopoulos, I. Kakkos, A. Anastatiou, A. Bezerianos, Y. Sun, G.K. Matsopoulos, “Cognitive Reorganization due to Mental Workload: A Functional Connectivity Analysis based on Working Memory Paradigms”, Applied Sciences, vol. 13, no. 2129, pp. 1-11, 2023.

  • O. Manta, M. Sarafidis, W. Schlee, B. Mazurek, G.K. Matsopoulos, D.D. Koutsouris, “Development of Machine Learning Models for Tinnitus-Related Distress Classification Using Wavelet-Transformed Auditory Evoked Potential Signals and Clinical Data”, Journal of Clinical Medicine, vol. 12, no. 11, pp. 1-30, 2023.

  • D.A. Binas, P. Tzanakakis, T.L. Economopoulos, M. Konidari, C. Bourgioti, L.A. Moulopoulos, and G.K. Matsopoulos, “A Novel Approach for Estimating Ovarian Cancer Tissue Heterogeneity through the Application of Image Processing Techniques and Artificial Intelligence”, Cancers, vol. 15, no. 1058, pp. 1-14, 2023.

  • I.A. Vezakis, G.I. Lambrou, G.K. Matsopoulos, “Deep Learning Approaches to Osteosarcoma Diagnosis and Classification: A Comparative Methodological Approach”, Cancers, vol. 15, no. 2290, pp. 1-15, 2023.

  • M.P. Kalla, T.P. Vagenas, T.L. Economopoulos, and G.K. Matsopoulos, “Deep Learning Based Registration of 2D Dental Images with Edge Specific Loss”, Journal of Medical Imaging, vol. 10, no. 3, pp. 1-24, 2023.

  • 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.

  • 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.