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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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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
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A. S. Panayides, A. Amini, N. D. Filipovic, A. Sharma, S. A. Tsaftaris, A. Young, D. Foran, N. Do, S. Golemati, T. Kurc, K. Huang, K. S. Nikita, B. P. Veasey, M. Zervakis, J. H. Saltz, and C. S. Pattichis, “AI in medical imaging informatics: current challenges and future directions,” IEEE J. Biomed. Health Inform., vol. 24, no. 7, pp. 1837–1857, Jul. 2020. doi: 10.1109/JBHI.2020.2991043
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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. Livanos, D. Ramnalis, V. Polychronos, P. Balomenou, P. Sarigiannidis, G. Kakamoukas, T. Karamitsou, P. Angelidis, and M. Zervakis, "Extraction of reflectance maps for smart farming applications using Unmanned Aerial Vehicles," in 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto, Portugal, 2020, pp. 1-6, doi: 10.1109/CSNDSP49049.2020.9249628.
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K. Politof, M. Antonakakis, A. Wollbrink, C. H. Wolters and M. Zervakis, "Reconstruction of the very early thalamo-cortical network with combined EEG and MEG on realistic head modeling," in 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), Italy, 2021, pp. 371-374, doi: 10.1109/NER49283.2021.9441387.
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G. Sdoukopoulou, M. Antonakakis, G. Moddel, C. H. Wolters and M. Zervakis, "Interictal spike classification in pharmacoresistant epilepsy using combined EEG and MEG," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635501.
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A. Vogiatzis, G. Chalkiadakis, K. Moirogiorgou and M. Zervakis, "A novel one-vs-rest classification framework for mutually supported decisions by independent parallel classifiers," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651468.
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G. A. Klados, K. Politof, E. S. Bei, K. Moirogiorgou, N. Anousakis-Vlachochristou, G. K. Matsopoulos and M. Zervakis, "Machine learning model for predicting CVD risk on NHANES data," in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 1749-1752, doi: 10.1109/EMBC46164.2021.9630119.