Denis A. Engemann

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Alexandre GramfortMetaAdresse e-mail validée de meta.com
Eric LarsonResearch Scientist, University of WashingtonAdresse e-mail validée de uw.edu
Mainak JasMassachussets General HospitalAdresse e-mail validée de mgh.harvard.edu
Gaël VaroquauxResearch director, INRIAAdresse e-mail validée de normalesup.org
Martin LuessiResearch Fellow, MGH Martinos Center for Biomedical Imaging, Harvard Medical SchoolAdresse e-mail validée de nmr.mgh.harvard.edu
Jacobo Diego Sitt, M.D., PhDParis Brain Institute (ICM), INSERM, ICM institute, Pitie-Salpetriere HospitalAdresse e-mail validée de icm-institute.org
Lionel NaccacheSorbonne University / APHP / INSERM / ICMAdresse e-mail validée de upmc.fr
Benjamin RohautProfessor of Neurology at Sorbonne Université (Neuro-ICU), Pitié-Salpêtrière Hospital, ParisAdresse e-mail validée de icm-institute.org
Teon L BrooksMozillaAdresse e-mail validée de mozilla.com
Danilo BzdokCanada CIFAR AI Chair at McGill University & Mila Quebec AI Institute, MontrealAdresse e-mail validée de mcgill.ca
Jean-Rémi KingMetaAdresse e-mail validée de fb.com
Stanislas DehaeneProfessor of Experimental Cognitive Psychology, Collège de FranceAdresse e-mail validée de cea.fr
Yousra BekhtiAmazon RoboticsAdresse e-mail validée de amazon.com
Demertzi AthenaFNRS Research Associate (tenured), GIGA Institute, CRC In Vivo Imaging Center, University of LiègeAdresse e-mail validée de uliege.be
Leonhard SchilbachLudwig Maximilians Universität, Munich, GermanyAdresse e-mail validée de lvr.de
Simon B. EickhoffInstitut for Systems Neuroscience, Heinrich-Heine-Universität DüsseldorfAdresse e-mail validée de uni-duesseldorf.de
Robert LangnerInstitute of Systems Neuroscience, Heinrich Heine University DüsseldorfAdresse e-mail validée de uni-duesseldorf.de
Angela LairdProfessor, Florida International UniversityAdresse e-mail validée de fiu.edu
Peter T. FoxResearch Imaging Institute, University of Texas Health Science Center at San AntonioAdresse e-mail validée de uthscsa.edu
Jonathan F. DongesGroup leader, Potsdam Institute for Climate Impact Research and Stockholm Resilience CentreAdresse e-mail validée de pik-potsdam.de

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Denis A. Engemann

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

Adresse e-mail validée de roche.com - Page d'accueil

Electrophysiology Clinical Neuroscience Biomarkers Machine Learning Statistics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in Neuroinformatics 7, 267, 2013	3345	2013
MNE software for processing MEG and EEG data A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... neuroimage 86, 446-460, 2014	1956	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	695	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	469	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	253	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	237	2021
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals DA Engemann, A Gramfort NeuroImage 108, 328-342, 2015	204	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	92	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	91	2017
Inference and prediction diverge in biomedicine D Bzdok, D Engemann, B Thirion Patterns 1 (8), 2020	90*	2020
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	90	2018
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	86	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	72	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	65	2022
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	64	2016
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	63	2019

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