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.

  • D.A. Binas, M. Konidari, C. Bourgioti, L. Angela Moulopoulou, T.L. Economopoulos, G.K. Matsopoulos, “Automated 3D Segmentation System for Detecting Tumor and Its Heterogeneity in Patients with High Grade Ovarian Epithelial Cancer”, Biomedical Imaging Methods, pp.1-4, Paris, France, 2021.

  • S.T. Miloulis, I. Kakkos, A. Karampasi, I. Zorzos, E.C. Ventouras, G.K. Matsopoulos, P. Asvestas, I. Kalatzis, "Stimulus Effects on Subject-Specific BCI Classification Training using Motor Imagery", 9th IEEE International Conference on E-Health and Bioengineering - EHB 2021, pp. 1-4, 2021.

  • G.A. Klados, K. Politof, E. Bei, K. Moirogiorgou, N. Anousakis-Vlachochristou, G.K Matsopoulos, M. Zervakis, “Machine Learning Model for Predicting CVD Risk on NHANES Data”, 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1753-1756, 2021.

  • K. Giannakaki, K. Moirogiorgou, M. Zervakis, N. Anousakis-Vlachochristou, G.K Matsopoulos, C. Komporozos, V. Sourides, G. Katsimagklis, M. Drakopoulou, K. Toutouzas, C. Avgeropoulou, A. Androulakis, “Automatic Aortic Valve Area Detection in Echocardiography Images using Convolutional Neural Networks and U-net Architecture for Bicuspid Aortic Valve Recognition”, IEEE IST 2021, pp. 1-6, 2021.

  • S.T. Miloulis, I. Kakkos, S. Pitoglou, A. Anastasiou, G.K. Matsopoulos, "A Dedicated m-Health Tool for Smart Headache Monitoring and Management based on Behavioral, Clinical and Electromyographic Data", 9th Panhellenic Conference on Biomedical Technology, pp. 69, ELEVIT 2021.

  • T.P. Vagenas, A. Anastasiou, G.Κ. Matsopoulos, "Development and Support of an Integrated System for the Promotion and Management of Medical Tourism", 9th Panhellenic Conference on Biomedical Technology, pp. 62, ELEVIT 2021.

  • V. Costarides, I. Kouris, M. Haritou, G. Matsopoulos, D. Koutsouris, RETENTION team, "A Heart Failure Patient Management and Interventions Platform, Using Continuous Patient Monitoring Outside Hospitals and Real-World Data", 9th Panhellenic Conference on Biomedical Technology, pp. 68, ELEVIT 2021.

  • Koutsouris, Dimitris. "Participant Modeling: The Use of a Guided Master in the Modern World of Virtual Reality Exposure Therapy Targeting Fear of Heights." Wearables in Healthcare: Second EAI International Conference, HealthWear 2020, Virtual Event, December 10–11, 2020, Proceedings. Springer Nature, 2021.

  • Γεώργιος Κ. Ματσόπουλος, “H Τεχνιτή Νοημοσύνη ως Εργαλείο Επεξεργασίας Απεικονιστικών Δεδομένων”, 6η Διεπιστημονική προσέγγιση του καρκίνου μαστού και του γυναικολογικού καρκίνου. Από τη θεωρία στην πράξη, Αθήνα, Δεκέμβριος 2020.

  • Tsiouris, K. M., Konitsiotis, S., Gatsios, D., Koutsouris, D. D., & Fotiadis, D. I.. Automatic Absence Seizures Detection in EEG signals: An Unsupervised Module. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 532-535). IEEE, 2020, July.