Yousra Bekhti

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Alexandre GramfortMetaVerified email at meta.com
Mainak JasMassachussets General HospitalVerified email at mgh.harvard.edu
Denis A. EngemannPrincipal Scientist, Biomarker and Experimental Medicine Leader, F. Hoffmann-La Roche Ltd.Verified email at roche.com
Tal KenetDepartment of Neurology, Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
Fahimeh MamashliInstructor, Harvard Medical School, MGH, Martinos Center for Biomedical ImagingVerified email at mgh.harvard.edu
Hari Bharadwaj, Ph.D.University of PittsburghVerified email at pitt.edu
Javeria Ali HashmiAssociate professor, Dalhousie UniversityVerified email at dal.ca
Konstantinos P. MichmizosProfessor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Sheraz KhanAssistant Professor, Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
Joseph SalmonInriaVerified email at inria.fr
Jens HaueisenFull Professor and chair of the Institute of Biomedical Engineering and Informatics, TU IlmenauVerified email at tu-ilmenau.de
Felix LuckaCentrum Wiskunde & InformaticaVerified email at cwi.nl
Virginie van WassenhoveCEA, DRF/Joliot, NeuroSpin; INSERM, Cognitive Neuroimaging Unit; Univ. Paris-SaclayVerified email at cea.fr
Roland BadeauFull Professor of Signal Processing, Telecom ParisVerified email at telecom-paris.fr
Philippe CiuciuCEA Fellow & Research Director (CEA/NeuroSpin and Inria MIND)Verified email at cea.fr
Fabian PedregosaGoogleVerified email at google.com

Yousra Bekhti

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Autoreject: Automated artifact rejection for MEG and EEG data M Jas, DA Engemann, Y Bekhti, F Raimondo, A Gramfort NeuroImage 159, 417-429, 2017	446	2017
Maturation trajectories of cortical resting-state networks depend on the mediating frequency band S Khan, JA Hashmi, F Mamashli, K Michmizos, MG Kitzbichler, ... NeuroImage 174, 57-68, 2018	62	2018
Automated rejection and repair of bad trials in MEG/EEG M Jas, D Engemann, F Raimondo, Y Bekhti, A Gramfort 2016 international workshop on pattern recognition in neuroimaging (PRNI), 1-4, 2016	59	2016
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction D Strohmeier, Y Bekhti, J Haueisen, A Gramfort IEEE Transactions on Medical Imaging, 8, 2016	48	2016
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging Y Bekhti, F Lucka, J Salmon, A Gramfort Inverse Problems 34 (8), 085010, 2018	22	2018
Decoding the categorization of visual motion with magnetoencephalography Y Bekhti, A Gramfort, N Zilber, V van Wassenhove BioRxiv preprint: 103044, 2017	6	2017
M/EEG source localization with multi-scale time-frequency dictionaries Y Bekhti, D Strohmeiery, M Jas, R Badeau, A Gramfort 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016	5	2016
Hyperparameter estimation in maximum a posteriori regression using group sparsity with an application to brain imaging Y Bekhti, R Badeau, A Gramfort 2017 25th European Signal Processing Conference (EUSIPCO), 246-250, 2017	2	2017
Decoding perceptual thresholds from MEG/EEG Y Bekhti, N Zilber, F Pedregosa, P Ciuciu, V van Wassenhove, A Gramfort 2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014	2	2014
Contributions to sparse source localization for MEG/EEG brain imaging Y Bekhti Télécom ParisTech, 2018		2018
Round-Up Y Bekhti, F Lucka, J Salmon Physics World, 1995		1995

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