Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bekhti, Yousra"'
Autor:
Khan, Sheraz, Hashmi, Javeria, Mamashli, Fahimeh, Michmizos, Konstantinos, Kitzbichler, Manfred, Bharadwaj, Hari, Bekhti, Yousra, Ganesan, Santosh, Garel, Keri A, Whitfield-Gabrieli, Susan, Gollub, Randy, Kong, Jian, Vaina, Lucia M, Rana, Kunjan, Stufflebeam, Steven, Hamalainen, Matti, Kenet, Tal
The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting state networks are known to und
Externí odkaz:
http://arxiv.org/abs/1803.04364
Majorization-minimization (MM) is a standard iterative optimization technique which consists in minimizing a sequence of convex surrogate functionals. MM approaches have been particularly successful to tackle inverse problems and statistical machine
Externí odkaz:
http://arxiv.org/abs/1710.08747
We present an automated algorithm for unified rejection and repair of bad trials in magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method capitalizes on cross-validation in conjunction with a robust evaluation metric to es
Externí odkaz:
http://arxiv.org/abs/1612.08194
Source imaging based on magnetoencephalography (MEG) and electroencephalography (EEG) allows for the non-invasive analysis of brain activity with high temporal and good spatial resolution. As the bioelectromagnetic inverse problem is ill-posed, const
Externí odkaz:
http://arxiv.org/abs/1607.08458
Publikováno v:
In NeuroImage 1 October 2017 159:417-429
Autor:
Bekhti, Yousra
Publikováno v:
Medical Imaging. Télécom ParisTech, 2018. English. ⟨NNT : 2018ENST0017⟩
Understanding the full complexity of the brain has been a challenging research project for decades, yet there are many mysteries that remain unsolved. Being able to model how the brain represents, analyzes, processes, and transforms information of mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b318d46557fc7ab4e3432c96830e1721
https://pastel.archives-ouvertes.fr/tel-03409068
https://pastel.archives-ouvertes.fr/tel-03409068
Akademický článek
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Autor:
Bekhti, Yousra, Zilber, Nicolas, Pedregosa, Fabian, Ciuciu, Philippe, van Wassenhove, Virginie, Gramfort, Alexandre
Publikováno v:
2014 International Workshop on Pattern Recognition in Neuroimaging; 2014, p1-4, 4p
Autor:
Khan S; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Department of Radiology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, USA. Electronic address: sheraz@nmr.mgh.harvard.edu., Hashmi JA; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Mamashli F; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Michmizos K; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Kitzbichler MG; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Bharadwaj H; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Bekhti Y; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Ganesan S; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Garel KA; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Whitfield-Gabrieli S; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, USA., Gollub RL; Department of Psychiatry MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Kong J; Department of Psychiatry MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Vaina LM; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Department of Biomedical Engineering, Boston University, Boston, USA., Rana KD; Department of Biomedical Engineering, Boston University, Boston, USA., Stufflebeam SM; Department of Radiology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Hämäläinen MS; Department of Radiology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA., Kenet T; Department of Neurology, MGH, Harvard Medical School, Boston, USA; Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, USA.
Publikováno v:
NeuroImage [Neuroimage] 2018 Jul 01; Vol. 174, pp. 57-68. Date of Electronic Publication: 2018 Feb 17.