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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.
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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.
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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
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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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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.
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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.
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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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K. Giannakaki, K. Moirogiorgou, M. Zervakis, N. Anousakis-Vlachochristou, G. K. Matsopoulos, C. Komporozos, V. Sourides, G. Katsimagklis, M. Drakopoulou, K. Toutouzas, C. Avgeropoulou and A. Androulakis, "Automatic aortic valve area detection in echocardiography images using convolutional neural networks and U-net architecture for bicuspid aortic valve recognition," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651398.
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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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M. Papadogiorgaki, M. Venianaki, P. Charonyktakis, M. Antonakakis, I. Tsamardinos, M. E. Zervakis and V. Sakkalis, "Heart rate classification using ECG signal processing and machine learning methods," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635462.