-
S. Tsakaneli, E. S. Bei and M. E. Zervakis, "A 21-hub-gene signature in multiple sclerosis identified using machine learning techniques," in Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2022), Ioannina, Greece, 2022, doi: 10.1109/BHI56158.2022.9926949.
-
C. Farmaki, N. Zacharioudakis, M. Pediaditis, M. Krana and V. Sakkalis, "Application of dry EEG electrodes on low-cost SSVEP-based BCI for robot navigation," in Proceedings of the 2022 IEEE International Conference on Imaging Systems and Techniques (IST 2022), Kaohsiung, Taiwan, 2022, doi: 10.1109/IST55454.2022.9827672.
-
A. Grammatikopoulou, N. Grammalidis, M. Papadogiorgaki and M. Zervakis, “A platform for health emergency warning and wandering behaviour detection supporting people with intellectual disability,” in Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2022), Corfu, Greece, pp. 694–699, July 2022, doi: 10.1145/3529190.3534773.
-
T. N. Papadomanolakis, E. S. Sergaki, A. A. Polydorou, A. G. Krasoudakis, G. N. Makris-Tsalikis, A. A. Polydorou, N. M. Afentakis, S. A. Athanasiou, I. O. Vardiambasis, and M. E. Zervakis, “Tumor diagnosis against other brain diseases using T2 MRI brain images and CNN binary classifier and DWT,” Brain Sci., vol. 13, no. 2, Feb. 2023, doi: 10.3390/brainsci13020348.
-
A. Dovrou, E. Bei, S. Sfakianakis, K. Marias, N. Papanikolaou and M. Zervakis, “Synergies of radiomics and transcriptomics in lung cancer diagnosis: a pilot study,” Diagnostics, vol. 13, no. 4, Feb. 2023, doi: 10.3390/diagnostics13040738.
-
A. Tsellou, G. Livanos, D. Ramnalis, V. Polychronos, G. Plokamakis, M. Zervakis, and K. Moirogiorgou, “A UAV intelligent system for greek power lines monitoring,” Sensors, vol. 23, no. 20, Oct. 2023, doi: 10.3390/s23208441.
-
A. Vogiatzis, S. Orfanoudakis, G. Chalkiadakis, K. Moirogiorgou and M. Zervakis, “Novel meta-learning techniques for the multiclass image classification problem,” Sensors, vol. 23, no. 1, Jan. 2023, doi: 10.3390/s23010009.
-
S. A. Athanasiou, E. S. Sergaki, A. A. Polydorou, A. A. Polydorou, G. S. Stavrakakis, N. M. Afentakis, I. O. Vardiambasis, and M. E. Zervakis “Revealing the boundaries of selected gastro-intestinal (GI) organs by implementing CNNs in endoscopic capsule images,” Diagnostics, vol. 13, no. 5, Feb. 2023, doi: 10.3390/diagnostics13050865.
-
N. J. Simos, K. Manolitsi, A. I. Luppi, A. Kagialis, M. Antonakakis, M. Zervakis, D. Antypa, E. Kavroulakis, T. G. Maris, A. Vakis, E. A. Stamatakis and E. Papadaki “Chronic mild Traumatic Brain Injury: aberrant static and dynamic connectomic features identified through machine learning model fusion,” Neuroinform., vol. 21, no. 2, pp. 427–442, Apr. 2023, doi: 10.1007/s12021-022-09615-1.
-
T. Medani, J. Garcia-Prieto, F. Tadel, M. Antonakakis, T. Erdbrügger, M. Höltershinken, W. Mead, S. Schrader, A. Joshi, C. Engwer, C. H. Wolters, J. C. Mosher, and R. M. Leahy, “Brainstorm-DUNEuro: an integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity,” NeuroImage, vol. 267, Feb. 2023, doi: 10.1016/j.neuroimage.2022.119851.