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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.
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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.
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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.
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E. Trivizakis, N.-M. Koutroumpa, J. Souglakos, A. Karantanas, M. Zervakis and K. Marias, “Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature,” BioMed. Eng. OnLine, vol. 22, no. 1, Dec. 2023, doi: 10.1186/s12938-023-01190-z.
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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.
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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.
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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.
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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.
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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.
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A. Karasmanoglou, M. Antonakakis and M. Zervakis, "Heatmap-based explanation of YOLOv5 object detection with layer-wise relevance propagation," in Proceedings of the 2022 IEEE International Conference on Imaging Systems and Techniques (IST 2022), Kaohsiung, Taiwan, 2022, doi: 10.1109/IST55454.2022.9827744.