Denis A. Engemann 个人学术档案

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

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Denis A. Engemann

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

在 roche.com 的电子邮件经过验证 - 首页

Cognition Neurophysiology Medicine Statistical Learning Computational Sciences


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in neuroscience 7, 70133, 2013	2723	2013
MNE software for processing MEG and EEG data A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... neuroimage 86, 446-460, 2014	1791	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	645	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	389	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	274	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	241	2013
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals DA Engemann, A Gramfort NeuroImage 108, 328-342, 2015	189	2015
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	185	2021
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, 345102, 2018	110	2018
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	83	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	80	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	79	2020
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	78	2020
Inference and prediction diverge in biomedicine D Bzdok, D Engemann, B Thirion Patterns 1 (8), 2020	77*	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	71	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	67	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	63	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	58	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	52	2016
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	48*	2020

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