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K. Politof, M. Antonakakis, A. Wollbrink, M. Zervakis and C.H. Wolters, "Effective connectivity in the primary somatosensory network using combined EEG and MEG," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 593-597. doi: 10.1109/BIBE.2019.00113
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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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K. Giannakaki, G. Giannakakis, P. Vorgia, M. Klados and M. Zervakis, "Automatic absence seizure detection evaluating matching pursuit features of EEG signals," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 886-889. doi: 10.1109/BIBE.2019.00165
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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
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L. Xu, Z. Cao, W. Yang, M. Zervakis and G. Giakos, "Special Section on Imaging Systems and Techniques 2017," Meas. Sci. Technol., vol. 30, no. 2, Feb. 2019. doi: 10.1088/1361-6501/aaedfc
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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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A. Lytos, T. Lagkas, P. Sarigiannidis, M. Zervakis, and G. Livanos, “Towards smart farming: systems, frameworks and exploitation of multiple sources,” Comput. Netw., vol. 172, May 2020. doi: 10.1016/j.comnet.2020.107147
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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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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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G. Kallergi, O. Hoffmann, A.-K. Bittner, L. Papadimitriou, S. D. Katsarou, N. Zacharopoulou, M. Zervakis, S. Sfakianakis, C. Stournaras, V. Georgoulias, R. Kimmig, and S. Kasimir-Bauer, “CXCR4 and JUNB double-positive disseminated tumor cells are detected frequently in breast cancer patients at primary diagnosis,” Ther. Adv. Med. Oncol., vol. 12, Jan. 2020. doi: 10.1177/1758835919895754