Denis A. Engemann

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	すべて	2020 年以来
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Alexandre GramfortMeta確認したメールアドレス: meta.com
Eric LarsonResearch Scientist, University of Washington確認したメールアドレス: uw.edu
Mainak JasMassachussets General Hospital確認したメールアドレス: mgh.harvard.edu
Gaël VaroquauxResearch director, INRIA確認したメールアドレス: normalesup.org
Martin LuessiResearch Fellow, MGH Martinos Center for Biomedical Imaging, Harvard Medical School確認したメールアドレス: nmr.mgh.harvard.edu
Jacobo Diego Sitt, M.D., PhDParis Brain Institute (ICM), INSERM, ICM institute, Pitie-Salpetriere Hospital確認したメールアドレス: icm-institute.org
Lionel NaccacheSorbonne University / APHP / INSERM / ICM確認したメールアドレス: upmc.fr
Prof Benjamin RohautProfessor of Neurology at Sorbonne Université (Neuro-ICU), Pitié-Salpêtrière Hospital, Paris確認したメールアドレス: icm-institute.org
Teon L BrooksMozilla確認したメールアドレス: mozilla.com
Danilo BzdokCanada CIFAR AI Chair at McGill University & Mila Quebec AI Institute, Montreal確認したメールアドレス: mcgill.ca
Jean-Rémi KingMeta確認したメールアドレス: fb.com
Stanislas DehaeneProfessor of Experimental Cognitive Psychology, Collège de France確認したメールアドレス: cea.fr
Yousra BekhtiAmazon Robotics確認したメールアドレス: amazon.com
Demertzi AthenaFNRS Research Associate (tenured), GIGA Institute, CRC In Vivo Imaging Center, University of Liège確認したメールアドレス: uliege.be
Leonhard SchilbachLudwig Maximilians Universität, Munich, Germany確認したメールアドレス: lvr.de
Simon B. EickhoffInstitut for Systems Neuroscience, Heinrich-Heine-Universität Düsseldorf確認したメールアドレス: uni-duesseldorf.de
Robert LangnerInstitute of Systems Neuroscience, Heinrich Heine University Düsseldorf確認したメールアドレス: uni-duesseldorf.de
Angela LairdProfessor, Florida International University確認したメールアドレス: fiu.edu
Peter T. FoxResearch Imaging Institute, University of Texas Health Science Center at San Antonio確認したメールアドレス: uthscsa.edu
Jonathan F. DongesGroup leader, Potsdam Institute for Climate Impact Research and Stockholm Resilience Centre確認したメールアドレス: pik-potsdam.de

フォロー

Denis A. Engemann

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

確認したメールアドレス: roche.com - ホームページ

Electrophysiology Clinical Neuroscience Biomarkers Machine Learning Statistics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in Neuroinformatics 7, 267, 2013	3351	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	696	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	473	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	127	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	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	89*	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	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	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	66	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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