David Sabbagh
David Sabbagh
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Manifold-regression to predict from MEG/EEG brain signals without source modeling
D Sabbagh, P Ablin, G Varoquaux, A Gramfort, DA Engemann
Advances in Neural Information Processing Systems, 7323-7334, 2019
112019
Corrected small-sample estimation of the Bayes error
M Brun, D Sabbagh, S Kim, ER Dougherty
Bioinformatics 19 (8), 944-951, 2003
82003
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers
DA Engemann, O Kozynets, D Sabbagh, G Lemaître, G Varoquaux, ...
Elife 9, e54055, 2020
32020
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
D Sabbagh, P Ablin, G Varoquaux, A Gramfort, DA Engemann
NeuroImage, 116893, 2020
22020
Combining electrophysiology with MRI enhances learning of surrogate-biomarkers
DA Engemann, O Kozynets, D Sabbagh, G Lemaitre, G Varoquaux, ...
bioRxiv, 856336, 2019
2019
Small-sample estimation of the error of the optimal binary filter
DL Sabbagh, ER Dougherty
2000 10th European Signal Processing Conference, 1-4, 2000
2000
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Articles 1–6