David Sabbagh - researchr alias

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Viewing Publication 1 - 5 from 5

2022

A reusable benchmark of brain-age prediction from M/EEG resting-state signalsDenis A. Engemann, Apolline Mellot, Richard Höchenberger, Hubert J. Banville, David Sabbagh, Lukas Gemein, Tonio Ball, Alexandre Gramfort. neuroimage, 262:119521, 2022. [doi]

2021

Building clinical biomarkers from cerebral electrophysiology ˸ Brain Age as a measure of neurocognitive disorders. (Construction de biomarqueurs cliniques à partir de l'electrophysiologie cérébrale ˸ l'âge du cerveau comme mesure des troubles neurocognitifs)David Sabbagh. PhD thesis, University of Paris-Saclay, France, 2021. [doi]

2020

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive statesDavid Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann. neuroimage, 222:116893, 2020. [doi]

2019

Manifold-regression to predict from MEG/EEG brain signals without source modelingDavid Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann. nips 2019: 7321-7332 [doi]

2003

Corrected Small-sample Estimation of the Bayes ErrorMarcel Brun, David Sabbagh, Seungchan Kim, Edward R. Dougherty. bioinformatics, 19(8):944-951, 2003.

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