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V. Chalkiadakis, N. Papandroulakis, G. Livanos, K. Moirogiorgou, G. Giakos and M. Zervakis, "Designing a small-sized autonomous underwater vehicle architecture for regular periodic fish-cage net inspection," in 2017 IEEE International Conference on Imaging Systems and Techniques, 2018, pp. 1-6. doi: 10.1109/IST.2017.8261525
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Konstantinos Malavazos, "Implementation of a tumor growth prediction system in reconfigurable logic", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2018
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A. Roniotis, K. Marias, V. Sakkalis, G.C. Manikis and Michalis Zervakis, "Corrigendum to “Simulating radiotherapy effect in high-grade glioma by using diffusive modeling and brain atlases”," Biomed Res. Int., vol. 2018, pp. 1, 2018. doi: 10.1155/2018/2712657
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G. Bauman, S. Shrestha, K. Mallinson, Z. Giakos, M. Surovich, Y. Wang, G. Livanos, M. Zervakis, N. Ying and G.C. Giakos, "Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples," in 2017 IEEE International Conference on Imaging Systems and Techniques, 2018, pp. 1-6. doi: 10.1109/IST.2017.8261458
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V.C. Pezoulas, M. Zervakis, I. Pologiorgi, S. Seferlis, G.M. Tsalikis, G. Zarifis and G.C. Giakos, "A tissue classification approach for brain tumor segmentation using MRI," in 2017 IEEE International Conference on Imaging Systems and Techniques, 2018, pp. 1-6. doi: 10.1109/IST.2017.8261542
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K. M. Tsiouris, V. C. Pezoulas, M. Zervakis, S. Konitsiotis, D. D. Koutsouris and D. I. Fotiadis, "A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals," Comput. Biol. Med., vol. 99, pp. 24-37, Aug. 2018. doi: 10.1016/j.compbiomed.2018.05.019
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P.I. Koulountzios, M.E. Zervakis, P.L. Karakitsios and G.E. Stavroulakis, "A semi-automatic algorithm for reconstruction and NURBS surface generation of thoracic aorta," in 2017 IEEE International Conference on Imaging Systems and Techniques, pp. 1-6, 2018. doi: 10.1109/IST.2017.8261529
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V.C. Pezoulas, A. Athanasiou, G. Nolte, M. Zervakis, A. Fratini, D.I. Fotiadis and M.A. Klados, "FCLAB: an EEGLAB module for performing functional connectivity analysis on single-subject EEG data," in IEEE EMBS International Conference on Biomedical and Health Informatics, 2018, pp. 96-99. doi: 10.1109/BHI.2018.8333378
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Γεώργιος Σπηλιώτης, "Εφαρμογή και αξιολόγηση μεθόδων τεχνητής νοημοσύνης σε προβλήματα ιατρικής διάγνωσης", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2018
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J. Liang, M. Zervakis and J. Penders, "Guest Editorial IEEE BHI 2017," IEEE J. Biomed. Health Inform., vol. 22, no. 2, p. 300, Mar. 2018. doi: 10.1109/JBHI.2018.2807518