| 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 | 50 | 2020 |
| 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 222, 116893, 2020 | 49 | 2020 |
| 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 32, 2019 | 38 | 2019 |
| A reusable benchmark of brain-age prediction from M/EEG resting-state signals DA Engemann, A Mellot, R Höchenberger, H Banville, D Sabbagh, ... Neuroimage 262, 119521, 2022 | 10 | 2022 |
| Propofol requirement and EEG alpha band power during general anesthesia provide complementary views on preoperative cognitive decline C Touchard, J Cartailler, C Levé, J Serrano, D Sabbagh, E Manquat, ... Frontiers in Aging Neuroscience 12, 593320, 2020 | 8 | 2020 |
| Corrected small-sample estimation of the Bayes error M Brun, D Sabbagh, S Kim, ER Dougherty Bioinformatics 19 (8), 944-951, 2003 | 7 | 2003 |
| Combining electrophysiology with MRI enhances learning of surrogate-biomarkers DA Engemann, O Kozynets, D Sabbagh, G Lemaitre, G Varoquaux, ... bioRxiv, 856336, 2019 | 2 | 2019 |
| Repurposing EEG monitoring of general anaesthesia for building biomarkers of brain ageing: An exploratory study D Sabbagh, J Cartailler, C Touchard, J Joachim, A Mebazaa, F Vallée, ... medRxiv, 2022.05. 05.22274610, 2022 | | 2022 |
| Building clinical biomarkers from cerebral electrophysiology˸ Brain Age as a measure of neurocognitive disorders D Sabbagh Université Paris-Saclay, 2021 | | 2021 |
| 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 |
