Digital Image and Signal Processing Laboratory

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	31-45 out of 128 results
31	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.	2022-05-04
32	Christina Paschalidou, "High frequency oscillations in EEG for the assessment of Epilepsy", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022	2022-04-12
33	Nikolaos Zacharioudakis, "A Low cost EEG SSVEP-based Brain Computer Ιnterface for navigation applications", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022	2022-03-08
34	Olympia Gallou, "Delineating the epileptogenic zone by accurately determining the high frequency oscillation (HFO) area using classification of the extracted features", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2021	2021-10-15
35	Nikolaos-Ioannis Simos, "Non-linear functional connectivity of resting-state fmri data from patients with brain insults: a time-varying analysis", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete , Chania, Greece, 2021	2021-10-13
36	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
37	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
38	Kosmas Pinitas, "Dendritic application to machine learning", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2021	2021-08-30
39	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
40	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
41	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
42	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
43	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
44	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
45	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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