Digital Image and Signal Processing Laboratory

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	106-120 out of 157 results
106	A. Doulamis, G. Giakos, E.G.M Petrakis and M. Zervakis, "Editorial note: Multimedia systems for critical engineering," vol, 77, no. 8, p. 9209, Apr. 2018. doi: 10.1007/s11042-018-5849-0	2019-12-06
107	G. Giakos, W. Yang, M. Zervakis and L. Xu, "Special section on imaging systems and techniques 2016," Meas. Sci. Technol., vol. 29, no. 5, Apr. 2018. doi: 10.1088/1361-6501/aa8c1b	2019-11-13
108	N.-K. Chlis, E.S. Bei and M. Zervakis, "Introducing a stable bootstrap validation framework for reliable genomic signature extraction," IEEE/ACM Trans. Comput. Biol. Bioinform., vol. 15, no. 1, pp. 181-190, Jan-Feb. 2018. doi: 10.1109/TCBB.2016.2633267	2019-10-18
109	Ioannis Torakis, "Machine learning methods for the evaluation of biomolecular markers οf pancreatic cancer and its correlation with embryogenesis", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2019	2019-10-08
110	G. Bauman, S. Shrestha, K. Mallinson, Z. Giakos, M. Surovich, Y. Wang, G. Livanos, M. Zervakis, N. Ying and G.C. Giakos, "Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples," in 2017 IEEE International Conference on Imaging Systems and Techniques, 2018, pp. 1-6. doi: 10.1109/IST.2017.8261458	2019-10-03
111	V.C. Pezoulas, M. Zervakis, I. Pologiorgi, S. Seferlis, G.M. Tsalikis, G. Zarifis and G.C. Giakos, "A tissue classification approach for brain tumor segmentation using MRI," in 2017 IEEE International Conference on Imaging Systems and Techniques, 2018, pp. 1-6. doi: 10.1109/IST.2017.8261542	2019-10-03
112	V. Chalkiadakis, N. Papandroulakis, G. Livanos, K. Moirogiorgou, G. Giakos and M. Zervakis, "Designing a small-sized autonomous underwater vehicle architecture for regular periodic fish-cage net inspection," in 2017 IEEE International Conference on Imaging Systems and Techniques, 2018, pp. 1-6. doi: 10.1109/IST.2017.8261525	2019-10-03
113	P.I. Koulountzios, M.E. Zervakis, P.L. Karakitsios and G.E. Stavroulakis, "A semi-automatic algorithm for reconstruction and NURBS surface generation of thoracic aorta," in 2017 IEEE International Conference on Imaging Systems and Techniques, pp. 1-6, 2018. doi: 10.1109/IST.2017.8261529	2019-10-03
114	A. Saliakoura, G. Theodosiadou, A. Rigas, G. Kyriacou and M. Zervakis, "Single equivalent dipole inverse electrocardiography based on ordinary 12 leads recordings," in 4th Panhellenic Conference on Electronics and Telecommunications, 2018, pp. 1-5. doi: 10.1109/PACET.2017.8259962	2019-10-03
115	Georgios Klados, "Registration of fMRI on a 3D brain atlas for matching of functional activation compontments", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2019	2019-10-01
116	S. Shrestha, A. Deshpande, T. Farrahi, T. Cambria, T. Quang, J. Majeski, Y. Na, M. Zervakis, G. Livanos and G.C. Giakos, G.C., "Label-free discrimination of lung cancer cells through mueller matrix decomposition of diffuse reflectance imaging," Biomed. Signal Process. Control, vol. 40, pp. 505-518, Feb. 2018. doi: 10.1016/j.bspc.2017.05.009	2019-10-01
117	J. Liang, M. Zervakis and J. Penders, "Guest Editorial IEEE BHI 2017," IEEE J. Biomed. Health Inform., vol. 22, no. 2, p. 300, Mar. 2018. doi: 10.1109/JBHI.2018.2807518	2019-09-23
118	K. Bacharidis, F. Sarri, V. Paravolidakis, L. Ragia and M. Zervakis, "Fusing georeferenced and stereoscopic image data for 3D building Façade reconstruction," ISPRS Int. J. Geo-Inf., vol. 7, no. 4, Apr. 2018. doi: 10.3390/ijgi7040151	2019-09-18
119	V.C. Pezoulas, A. Athanasiou, G. Nolte, M. Zervakis, A. Fratini, D.I. Fotiadis and M.A. Klados, "FCLAB: an EEGLAB module for performing functional connectivity analysis on single-subject EEG data," in IEEE EMBS International Conference on Biomedical and Health Informatics, 2018, pp. 96-99. doi: 10.1109/BHI.2018.8333378	2019-09-17
120	K. M. Tsiouris, V. C. Pezoulas, M. Zervakis, S. Konitsiotis, D. D. Koutsouris and D. I. Fotiadis, "A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals," Comput. Biol. Med., vol. 99, pp. 24-37, Aug. 2018. doi: 10.1016/j.compbiomed.2018.05.019	2019-08-28
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