-
K. Kumar-Singh, S. Kumar, M. Antonakakis, K. Moirogiorgou, A. Deep, K. L. Kashyap, M. K. Bajpai, and M. Zervakis, “Deep learning capabilities for the categorization of microcalcification,” Int. J. Environ. Res. Public Health, vol. 19, no. 4, Feb. 2022, doi: 10.3390/ijerph19042159.
-
K. Moirogiorgou, F. Raptopoulos, G. Livanos, S. Orfanoudakis, M. Papadogiorgaki, M. Zervakis and M. Maniadakis, "Intelligent robotic system for urban waste recycling," in Proceedings of the 2022 IEEE International Conference on Imaging Systems and Techniques (IST 2022), Kaohsiung, Taiwan, 2022, doi: 10.1109/IST55454.2022.9827769.
-
M. Antonakakis, A. Tzavaras, K. Tsakos, E. G. Spanakis, V. Sakkalis, M. Zervakis, and E. G. M. Petrakis, "Real-time object detection using an ultra-high-resolution camera on embedded systems," in Proceedings of the 2022 IEEE International Conference on Imaging Systems and Techniques (IST 2022), Kaohsiung, Taiwan, 2022, doi: 10.1109/IST55454.2022.9827742.
-
M. Samara, C. Farmaki, N. Zacharioudakis, M. Pediaditis, M. Krana and V. Sakkalis, "Comparison between dry and wet EEG electrodes in an SSVEP-based BCI for robot navigation," in Proceedings of the 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE 2022), Taichung, Taiwan, 2022, pp. 333-338, doi: 10.1109/BIBE55377.2022.00075.
-
N. G. Bourbakis, K. Michalopoulos, M. Antonakakis and M. Zervakis, “A new multi-resolution approach to EEG brain modeling using local-global graphs and stochastic petri-nets,” Int. J. Neur. Syst., vol. 32, no. 5, May 2022, doi: 10.1142/S012906572250006X.
-
S. Tsakaneli, E. S. Bei and M. E. Zervakis, "A 21-hub-gene signature in multiple sclerosis identified using machine learning techniques," in Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2022), Ioannina, Greece, 2022, doi: 10.1109/BHI56158.2022.9926949.
-
Y.-W. Chen, K.-H. Liang, K.-L. Ng, Y-h. Taguchi, J.-L. Wang, and M. Zervakis, "Message from the program chairs BIBE 2022," in 22nd IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2022), Taichung, Taiwan, 2022, p. xix, doi: 10.1109/BIBE55377.2022.00006.
-
A. Rezaei, J. Lahtinen, F. Neugebauer, M. Antonakakis, M. C. Piastra, A. Koulouri, C. H. Wolters, and S. Pursiainen, "Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data," NeuroImage, vol. 245, Dec. 2021. doi: 10.1016/j.neuroimage.2021.118726
-
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.
-
A. Vogiatzis, G. Chalkiadakis, K. Moirogiorgou, G. Livanos, M. Papadogiorgaki and M. Zervakis, "Dual-branch CNN for the identification of recyclable materials," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651347.