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	1-15 από 35 αποτελέσματα
1	N. J. Simos, K. Manolitsi, A. I. Luppi, A. Kagialis, M. Antonakakis, M. Zervakis, D. Antypa, E. Kavroulakis, T. G. Maris, A. Vakis, E. A. Stamatakis and E. Papadaki “Chronic mild Traumatic Brain Injury: aberrant static and dynamic connectomic features identified through machine learning model fusion,” Neuroinform., vol. 21, no. 2, pp. 427–442, Apr. 2023, doi: 10.1007/s12021-022-09615-1.	2024-03-04
2	E. Papadaki, N. J. Simos, E. Kavroulakis, G. Bertsias, D. Antypa, A. Fanouriakis, T. Maris, P. Sidiropoulos and D. T. Boumpas “Converging evidence of impaired brain function in systemic lupus erythematosus: changes in perfusion dynamics and intrinsic functional connectivity,” Neuroradiology, vol. 64, no. 8, pp. 1593–1604, Aug. 2022, doi: 10.1007/s00234-022-02924-x.	2024-03-04
3	G. Giannakakis, K. Makantasis, K. Giannakaki, M. Zervakis, and P. Vorgia, “Detection of focal epileptic seizures on EEG signals using the CSP algorithm,” Epilepsia, vol. 63, no. S2, pp. 107, Sep. 2022, doi: 10.1111/epi.17388.	2024-02-26
4	F. Neugebauer, M. Antonakakis, K. Unnwongse, Y. Parpaley, J. Wellmer, S. Rampp, and C. H. Wolters, “Validating EEG, MEG and combined MEG and EEG beamforming for an estimation of the epileptogenic zone in focal cortical dysplasia,” Brain Sci., vol. 12, no. 1, Jan. 2022, doi: 10.3390/brainsci12010114.	2023-09-22
5	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.	2023-09-14
6	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	2022-08-04
7	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	2021-09-21
8	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	2021-09-07
9	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	2021-08-06
10	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	2021-08-02
11	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	2021-07-14
12	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	2021-05-28
13	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	2021-05-14
14	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	2021-04-15
15	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	2021-03-23
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