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H.-X. De Lastic, I. Liampa, A. G. Georgakilas, M. Zervakis, and A. Chatziioannou, “Entropic ranks: a methodology for enhanced, threshold-free, information-rich data partition and interpretation,” Appl. Sci., vol. 10, no. 20, Oct. 2020. doi: 10.3390/app10207077
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I. Torakis, E. S. Bei, S. Sfakianakis, I. S. Pateras and M. Zervakis, “Pancreatic cancer and its correlation with embryogenesis: identification of biomolecular markers using machine learning methods,” in 8th European Medical and Biological Engineering Conference, IFMBE Proceedings, T. Jarm, A. Cvetkoska, S. Mahnič-Kalamiza, D. Miklavcic, Eds., Cham, Switzerland: Springer Nature, 2021, pp. 952–961, doi: 10.1007/978-3-030-64610-3_106.
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M. A. Klados, P. Konstantinidi, R. Dacosta-Aguayo, V.-D. Kostaridou, A. Vinciarelli, and M. Zervakis, “Automatic recognition of personality profiles using EEG functional connectivity during emotional processing,” Brain Sci., vol. 10, no. 5, May 2020. doi: 10.3390/brainsci10050278
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M. Antonakakis, S. I. Dimitriadis, M. Zervakis, A. C. Papanicolaou and G. Zouridakis, “Aberrant whole-brain transitions and dynamics of spontaneous network microstates in mild traumatic brain injury,” Front. Comput. Neurosci., vol. 13, Jan. 2020. doi: 10.3389/fncom.2019.00090
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M. Antonakakis, S. Schrader, Ü. Aydin, A. Khan, J. Gross, M. Zervakis, S. Rampp and C. H. Wolters, “Inter-subject variability of skull conductivity and thickness in calibrated realistic head models”, NeuroImage, vol. 223, Dec. 2020. doi: 10.1016/j.neuroimage.2020.117353
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S Schrader, M Antonakakis, S Rampp, C Engwer, and C H Wolters, "A novel method for calibrating head models to account for variability in conductivity and its evaluation in a sphere model", Phys. Med. Biol., vol. 65, no. 24, Dec. 2020. doi: 10.1088/1361-6560/abc5aa
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S. Paspalakis, K. Moirogiorgou, N. Papandroulakis, G. Giakos, and M. Zervakis, “Automated fish cage net inspection using image processing techniques,” IET Image Process., vol. 14, no. 10, pp. 2028–2034, Aug. 2020. doi: 10.1049/iet-ipr.2019.1667
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G. Giannakakis, N. Tsekos, K. Giannakaki, K. Michalopoulos, P. Vorgia and M. Zervakis, "Seizure detection using common spatial patterns and classification techniques," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 890-893. doi: 10.1109/BIBE.2019.00166
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G. Kallergi, V. Tsintari, S. Sfakianakis, E. Bei, E. Lagoudaki, A. Koutsopoulos, N. Zacharopoulou, S. Alkahtani, S. Alarifi, C. Stournaras, M. Zervakis and V. Georgoulias, "The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization," Breast Cancer Res., vol. 21, no. 1, Aug. 2019. doi: 10.1186/s13058-019-1166-4
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G.A. Klados, M. Zervakis, R. Dacosta-Aguayo, A. Fratini and M.A. Klados, "Towards a novel way to predict deficits after a brain lesion: a stroke example," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 737-741. doi: 10.1109/BIBE.2019.00138