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 16-30 out of 37 results
16 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.2020.1173532021-04-15
17 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/abc5aa2021-03-23
18 A. Roniotis, K. Marias, V. Sakkalis, G.C. Manikis and Michalis Zervakis, "Corrigendum to “Simulating radiotherapy effect in high-grade glioma by using diffusive modeling and brain atlases”," Biomed Res. Int., vol. 2018, pp. 1, 2018. doi: 10.1155/2018/27126572020-12-29
19 V. C. Pezoulas, M. Zervakis, S. Michelogiannis and M. A. Klados, "Corrigendum: Resting-state functional connectivity and network analysis of cerebellum with respect to IQ and gender," Front. Hum. Neurosci., vol. 12, May 2017. doi: 10.3389/fnhum.2018.002162020-11-26
20 L. Xu, Z. Cao, W. Yang, M. Zervakis and G. Giakos, "Special Section on Imaging Systems and Techniques 2017," Meas. Sci. Technol., vol. 30, no. 2, Feb. 2019. doi: 10.1088/1361-6501/aaedfc2020-09-08
21 I. Vourlaki, C. Balas, G. Livanos, M. Vardoulakis, G. Giakos and M. Zervakis, "Bootstrap clustering approaches for organization of data: application in improving grade separability in cervical neoplasia," Biomed. Signal Process. Control, vol. 49, pp. 263-273, Mar. 2019. doi: 10.1016/j.bspc.2018.12.0142020-07-27
22 G. Kallergi, V. Tsintari, S. Sfakianakis, E. Bei, E. Lagoudaki, A. Koutsopoulos, N. Zacharopoulou, S. Alkahtani, S. Alarifi, C. Stournaras, M. Zervakis and V. Georgoulias, "The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization," Breast Cancer Res., vol. 21, no. 1, Aug. 2019. doi: 10.1186/s13058-019-1166-42020-05-28
23 V.C. Pezoulas, K. Michalopoulos, M.A. Klados, S. Micheloyannis, N.G. Bourbakis and M. Zervakis, "Functional connectivity analysis of cerebellum using spatially constrained spectral clustering," IEEE J. Biomed. Health Inform., vol. 23, no. 4, pp. 1710-1719, Jul. 2019. doi: 10.1109/JBHI.2018.28689182020-05-28
24 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/s11042-018-5849-02019-12-06
25 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/aa8c1b2019-11-13
26 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.2016.26332672019-10-18
27 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.2017.05.0092019-10-01
28 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.2018.28075182019-09-23
29 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/ijgi70401512019-09-18
30 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.2018.05.0192019-08-28
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