Prof. George K. Matsopoulos

Microwave and Fiber Optics Laboratory

National Technical University of Athens, Greece

Professor

E-mail: [email protected] , [email protected]

Qualifications

1990-1993 Ph.D., Bioengineering Unit & Signal Processing Division, Τhe University of Strathclyde, UK

1989-1990 Μ.Sc., Bioengineering Unit, The University of Strathclyde, UK

1983-1989 B.Sc., Department of Electrical & Computer Engineering, National Technical University of Athens, Greece

Publications (Selected)

1. Ioannidou, P., Vezakis, I., Haritou, M., Petropoulou, R., Miloulis, S. T., Kouris, I., ... & Koutsouris, D. D. (2025, April). HEalthcare Robotics’ ONtology (HERON): An Upper Ontology for Communication, Collaboration and Safety in Healthcare Robotics. In Healthcare (Vol. 13, No. 9, p. 1031). MDPI.
2. Syringas, P., Potsika, V., Tachos, N., Pardalis, A., Papaioannou, C., Mitsis, A., ... & Fotiadis, D. I. (2025, January). Exploring New Tools in Upper Limb Rehabilitation After Stroke Using an Exoskeletal Aid: A Pilot Randomized Control Study. In Healthcare (Vol. 13, No. 1, p. 91).
3. Triantafyllou, G., Botis, G., Vassiou, K., Vlychou, M., Tsakotos, G., Kalamatianos, T., ... & Piagkou, M. (2025). Τhe styloid process length and the stylohyoid chain ossification affect its relationship with the carotid arteries. Annals of Anatomy-Anatomischer Anzeiger, 257, 152342.
4. Mavridis, C., Vagenas, T. P., Economopoulos, T. L., Vezakis, I., Petropoulou, O., Kakkos, I., & Matsopoulos, G. K. (2024). Automatic Segmentation in 3D CT Images: A Comparative Study of Deep Learning Architectures for the Automatic Segmentation of the Abdominal Aorta. Electronics, 13(24), 4919.
5. Koutsopoulos, G., Ioannidou, P., Matsopoulos, G. K., & Koutsouris, D. D. (2024, September). Towards Model-driven Enhancement of Safety in Healthcare Robot Interactions. In International Conference on Business Informatics Research (pp. 85-100). Cham: Springer Nature Switzerland.
6. Vezakis, I. A., Georgas, K., Fotiadis, D., & Matsopoulos, G. K. (2024, July). EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1-4). IEEE.
7. Zaridis, D. I., Mylona, E., Tachos, N., Kalantzopoulos, C. Ν., Marias, K., Tsiknakis, M., ... & Fotiadis, D. I. (2024). ResQu-Net: Effective prostate’s peripheral zone segmentation leveraging the representational power of attention-based mechanisms. Biomedical Signal Processing and Control, 93, 106187.
8. Papagiannis, G., Triantafyllou, Α., Yiannopoulou, K. G., Georgoudis, G., Kyriakidou, M., Gkrilias, P., ... & Fotiadis, D. I. (2024). Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test. Scientific Reports, 14(1), 10598.
9. Kallivokas, S. V., Kontaxis, L. C., Psarras, S., Roumpi, M., Ntousi, O., Kakkos, I., ... & Kostopoulos, V. (2024). A combined computational and experimental analysis of PLA and PCL hybrid nanocomposites 3D printed scaffolds for bone regeneration. Biomedicines, 12(2), 261.
10. Panagiotidis, K. S., Vezakis, I. A., Kyritsi, A., Tagka, A., Kakkos, I., & Matsopoulos, G. K. (2023, December). Allergic Contact Dermatitis Detection with Machine Learning. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 1371-1377). IEEE.
11. Giannakopoulou, O., Kakkos, I., Dimitrakopoulos, G. N., Sun, Y., Matsopoulos, G. K., & Koutsouris, D. D. (2023). Time-Dependent Adaptations of Brain Networks in Driving Fatigue. Engineering Proceedings, 50(1), 6.
12. Vezakis, I., Vezakis, A., Gourtsoyianni, S., Koutoulidis, V., Polydorou, A. A., Matsopoulos, G. K., & Koutsouris, D. D. (2023). An automated prognostic model for pancreatic ductal adenocarcinoma. Genes, 14(9), 1742.
13. Kontopoulou, V. I., Panagopoulos, A. D., Kakkos, I., & Matsopoulos, G. K. (2023). A review of ARIMA vs. machine learning approaches for time series forecasting in data driven networks. Future Internet, 15(8), 255.
14. Manta, O., Sarafidis, M., Schlee, W., Mazurek, B., Matsopoulos, G. K., & Koutsouris, D. D. (2023). Development of machine-learning models for tinnitus-related distress classification using wavelet-transformed auditory evoked potential signals and clinical data. Journal of Clinical Medicine, 12(11), 3843.

Profile Details

https://orcid.org/0000-0002-2600-9914

https://www.ece.ntua.gr/en/staff/175

https://scholar.google.com.hk/citations?user=zKzcMW0AAAAJ&hl=en

https://www.researchgate.net/profile/George-Matsopoulos/2