Denis A. Engemann

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Alexandre GramfortMetaVerified email at meta.com
Eric LarsonResearch Scientist, University of WashingtonVerified email at uw.edu
Mainak JasMassachussets General HospitalVerified email at mgh.harvard.edu
Gaël VaroquauxResearch director, INRIAVerified email at normalesup.org
Martin LuessiResearch Fellow, MGH Martinos Center for Biomedical Imaging, Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
Jacobo Diego Sitt, M.D., PhDParis Brain Institute (ICM), INSERM, ICM institute, Pitie-Salpetriere HospitalVerified email at icm-institute.org
Lionel NaccacheSorbonne University / APHP / INSERM / ICMVerified email at upmc.fr
Prof Benjamin RohautProfessor of Neurology at Sorbonne Université (Neuro-ICU), Pitié-Salpêtrière Hospital, ParisVerified email at icm-institute.org
Teon L BrooksMozillaVerified email at mozilla.com
Danilo BzdokCanada CIFAR AI Chair at McGill University & Mila Quebec AI Institute, MontrealVerified email at mcgill.ca
Jean-Rémi KingMetaVerified email at fb.com
Stanislas DehaeneProfessor of Experimental Cognitive Psychology, Collège de FranceVerified email at cea.fr
Yousra BekhtiAmazon RoboticsVerified email at amazon.com
Demertzi AthenaFNRS Research Associate (tenured), GIGA Institute, CRC In Vivo Imaging Center, University of LiègeVerified email at uliege.be
Leonhard SchilbachLudwig Maximilians Universität, Munich, GermanyVerified email at lvr.de
Simon B. EickhoffInstitut for Systems Neuroscience, Heinrich-Heine-Universität DüsseldorfVerified email at uni-duesseldorf.de
Robert LangnerInstitute of Systems Neuroscience, Heinrich Heine University DüsseldorfVerified email at uni-duesseldorf.de
Angela LairdProfessor, Florida International UniversityVerified email at fiu.edu
Peter T. FoxResearch Imaging Institute, University of Texas Health Science Center at San AntonioVerified email at uthscsa.edu
Jonathan F. DongesGroup leader, Potsdam Institute for Climate Impact Research and Stockholm Resilience CentreVerified email at pik-potsdam.de

Denis A. Engemann

Principal Scientist, Biomarker and Experimental Medicine Leader, F. Hoffmann-La Roche Ltd.

Verified email at roche.com - Homepage

Electrophysiology Clinical Neuroscience Biomarkers Machine Learning Statistics


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MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in Neuroinformatics 7, 267, 2013	3370	2013
MNE software for processing MEG and EEG data A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... neuroimage 86, 446-460, 2014	1959	2014
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines G Varoquaux, PR Raamana, DA Engemann, A Hoyos-Idrobo, Y Schwartz, ... NeuroImage 145, 166-179, 2017	702	2017
Autoreject: Automated artifact rejection for MEG and EEG data M Jas, DA Engemann, Y Bekhti, F Raimondo, A Gramfort NeuroImage 159, 417-429, 2017	476	2017
Robust EEG-based cross-site and cross-protocol classification of states of consciousness DA Engemann, F Raimondo, JR King, B Rohaut, G Louppe, F Faugeras, ... Brain 141 (11), 3179-3192, 2018	305	2018
Segregation of the human medial prefrontal cortex in social cognition D Bzdok, R Langner, L Schilbach, DA Engemann, AR Laird, PT Fox, ... Frontiers in human neuroscience 7, 232, 2013	254	2013
Uncovering the structure of clinical EEG signals with self-supervised learning H Banville, O Chehab, A Hyvärinen, DA Engemann, A Gramfort Journal of Neural Engineering 18 (4), 046020, 2021	238	2021
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals DA Engemann, A Gramfort NeuroImage 108, 328-342, 2015	206	2015
A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices M Jas, E Larson, DA Engemann, J Leppäkangas, S Taulu, M Hämäläinen, ... Frontiers in neuroscience 12, 530, 2018	126	2018
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	95	2020
Brain–heart interactions reveal consciousness in noncommunicating patients F Raimondo, B Rohaut, A Demertzi, M Valente, DA Engemann, M Salti, ... Annals of neurology 82 (4), 578-591, 2017	92	2017
Survival and consciousness recovery are better in the minimally conscious state than in the vegetative state F Faugeras, B Rohaut, M Valente, J Sitt, S Demeret, F Bolgert, N Weiss, ... Brain Injury 32 (1), 72-77, 2018	91	2018
Inference and prediction diverge in biomedicine D Bzdok, D Engemann, B Thirion Patterns 1 (8), 2020	90*	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	88	2020
Self-supervised representation learning from electroencephalography signals H Banville, I Albuquerque, A Hyvärinen, G Moffat, DA Engemann, ... 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019	83	2019
Children's norm enforcement in their interactions with peers B Köymen, E Lieven, DA Engemann, H Rakoczy, F Warneken, ... Child development 85 (3), 1108-1122, 2014	77	2014
Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness B Hermann, F Raimondo, L Hirsch, Y Huang, M Denis-Valente, P Pérez, ... Scientific reports 10 (1), 4323, 2020	71	2020
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	67	2022
Manifold-regression to predict from MEG/EEG brain signals without source modeling D Sabbagh, P Ablin, G Varoquaux, A Gramfort, DA Engemann arXiv preprint arXiv:1906.02687, 2019	66	2019
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	66	2016

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