Denis A. Engemann

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Alexandre GramfortINRIA, Univ. Paris-SaclayVerified email at inria.fr
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
Benjamin Rohaut, M.D., Ph.D.Sorbonne University, Institut du Cerveau et de la Moelle épinière (ICM), Pitié-Salpêtrière HospitalVerified email at icm-institute.org
Jean-Rémi KINGMeta AI, CNRS, École Normale SupérieureVerified email at fb.com
Danilo BzdokCanada CIFAR AI Chair at McGill University & Mila Quebec AI Institute, MontrealVerified email at mcgill.ca
Teon L BrooksStatespace LabsVerified email at statespacelabs.com
Stanislas DehaeneProfessor of Experimental Cognitive Psychology, Collège de FranceVerified email at cea.fr
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
Yousra BekhtiTélécom ParisTechVerified email at telecom-paristech.fr
Demertzi AthenaFNRS Research Associate (tenured), GIGA Consciousness, University of LiègeVerified email at uliege.be
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

Senior Scientist, Biomarker and Experimental Medicine Leader, F Hoffman-La Roche Ltd

Verified email at roche.com - Homepage

Cognition Neurophysiology Medicine Statistical Learning Computational Sciences


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MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in neuroscience, 267, 2013	1453	2013
MNE software for processing MEG and EEG data A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Neuroimage 86, 446-460, 2014	1291	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	452	2017
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	202	2013
Autoreject: Automated artifact rejection for MEG and EEG data M Jas, DA Engemann, Y Bekhti, F Raimondo, A Gramfort NeuroImage 159, 417-429, 2017	182	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	159	2018
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals DA Engemann, A Gramfort NeuroImage 108, 328-342, 2015	152	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	75*	2018
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	57	2021
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	56	2014
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	50	2018
Inference and prediction diverge in biomedicine D Bzdok, D Engemann, B Thirion Patterns 1 (8), 100119, 2020	46*	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	45	2017
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	41	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	35	2020
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	34	2019
Games people play—toward an enactive view of cooperation in social neuroscience DA Engemann, D Bzdok, SB Eickhoff, K Vogeley, L Schilbach Frontiers in human neuroscience 6, 148, 2012	33	2012
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), 1-16, 2020	30	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	30	2019
Encoding and Decoding Framework to Uncover the Algorithms of Cognition JR King, L Gwilliams, C Holdgraf, J Sassenhagen, A Barachant, ... The Cognitive Neurosciences, 6, 691-702, 2020	21*	2020

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