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Books and Theses
- 2015
[b1]Denis A. Engemann:
Neuromagnetic Decomposition of Social Interaction. University of Cologne, 2015
Journal Articles
- 2023
- [j10]Robert J. Jirsaraie
, Aaron J. Gorelik, Martins M. Gatavins, Denis A. Engemann, Ryan Bogdan, Deanna M. Barch, Aristeidis Sotiras:
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility. Patterns 4(4): 100712 (2023) - 2022
- [j9]Hubert J. Banville, Sean U. N. Wood, Chris Aimone, Denis-Alexander Engemann, Alexandre Gramfort:
Robust learning from corrupted EEG with dynamic spatial filtering. NeuroImage 251: 118994 (2022) - [j8]Denis A. Engemann, Apolline Mellot, Richard Höchenberger, Hubert J. Banville, David Sabbagh, Lukas Gemein, Tonio Ball, Alexandre Gramfort:
A reusable benchmark of brain-age prediction from M/EEG resting-state signals. NeuroImage 262: 119521 (2022) - 2020
- [j7]Daria La Rocca, Philippe Ciuciu, Denis-Alexander Engemann, Virginie van Wassenhove:
Emergence of β and γ networks following multisensory training. NeuroImage 206 (2020) - [j6]David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann:
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. NeuroImage 222: 116893 (2020) - [j5]Danilo Bzdok, Denis A. Engemann, Bertrand Thirion:
Inference and Prediction Diverge in Biomedicine. Patterns 1(8): 100119 (2020) - 2017
- [j4]Gaël Varoquaux, Pradeep Reddy Raamana, Denis A. Engemann, Andrés Hoyos Idrobo, Yannick Schwartz, Bertrand Thirion:
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines. NeuroImage 145: 166-179 (2017) - [j3]Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort:
Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage 159: 417-429 (2017) - 2015
- [j2]Denis A. Engemann, Alexandre Gramfort:
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals. NeuroImage 108: 328-342 (2015) - 2014
- [j1]Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S. Hämäläinen:
MNE software for processing MEG and EEG data. NeuroImage 86: 446-460 (2014)
Conference and Workshop Papers
- 2024
- [c9]Ahmad Chamma, Bertrand Thirion, Denis A. Engemann:
Variable Importance in High-Dimensional Settings Requires Grouping. AAAI 2024: 11195-11203 - [c8]Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort:
Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. EUSIPCO 2024: 1367-1371 - [c7]Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann:
Geodesic Optimization for Predictive Shift Adaptation on EEG data. NeurIPS 2024 - 2023
- [c6]Ahmad Chamma, Denis A. Engemann, Bertrand Thirion:
Statistically Valid Variable Importance Assessment through Conditional Permutations. NeurIPS 2023 - 2021
- [c5]Alexandre Gramfort, Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis A. Engemann:
Learning with self-supervision on EEG data. BCI 2021: 1-2 - 2019
- [c4]Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann, Aapo Hyvärinen, Alexandre Gramfort:
Self-Supervised Representation Learning from Electroencephalography Signals. MLSP 2019: 1-6 - [c3]David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann:
Manifold-regression to predict from MEG/EEG brain signals without source modeling. NeurIPS 2019: 7321-7332 - 2016
- [c2]Mainak Jas, Denis A. Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort:
Automated rejection and repair of bad trials in MEG/EEG. PRNI 2016: 1-4 - 2015
- [c1]Denis A. Engemann, Daniel Strohmeier, Eric Larson, Alexandre Gramfort:
Mind the Noise Covariance When Localizing Brain Sources with M/EEG. PRNI 2015: 9-12
Data and Artifacts
- 2024
- [d4]Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, Guiomar Niso, Richard Koehler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Moritz Gerster, Laetitia Fesselier, Jonathan Vanhoecke, Ford McDonald, Pierre Guetschel, Mara Wolter, Julius Welzel, Alexandre Gramfort, Mainak Jas:
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Zenodo, 2024
- 2022
- [d3]Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, Julia Guiomar Niso Galán, Richard Koehler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Alexandre Gramfort, Mainak Jas:
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Version v0.11. Zenodo, 2022 [all versions] - [d2]Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, J. Guiomar Niso, Richard Koehler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Alexandre Gramfort, Mainak Jas:
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Version v0.11.1. Zenodo, 2022 [all versions] - [d1]Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, J. Guiomar Niso, Richard Koehler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Moritz Gerster, Alexandre Gramfort, Mainak Jas:
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Version v0.12. Zenodo, 2022 [all versions]
Informal and Other Publications
- 2024
- [i10]Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort:
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. CoRR abs/2403.15415 (2024) - [i9]Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann:
Geodesic Optimization for Predictive Shift Adaptation on EEG data. CoRR abs/2407.03878 (2024) - [i8]Joseph Paillard, Vitaliy Kolodyazhniy, Bertrand Thirion, Denis A. Engemann:
Measuring Variable Importance in Individual Treatment Effect Estimation with High Dimensional Data. CoRR abs/2408.13002 (2024) - 2023
- [i7]Ahmad Chamma, Denis A. Engemann, Bertrand Thirion:
Statistically Valid Variable Importance Assessment through Conditional Permutations. CoRR abs/2309.07593 (2023) - [i6]Ahmad Chamma, Bertrand Thirion, Denis A. Engemann:
Variable Importance in High-Dimensional Settings Requires Grouping. CoRR abs/2312.10858 (2023) - 2021
- [i5]Hubert J. Banville, Sean U. N. Wood, Chris Aimone, Denis-Alexander Engemann, Alexandre Gramfort:
Robust learning from corrupted EEG with dynamic spatial filtering. CoRR abs/2105.12916 (2021) - 2020
- [i4]Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort:
Uncovering the structure of clinical EEG signals with self-supervised learning. CoRR abs/2007.16104 (2020) - 2019
- [i3]David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann:
Manifold-regression to predict from MEG/EEG brain signals without source modeling. CoRR abs/1906.02687 (2019) - [i2]Hubert J. Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort:
Self-supervised representation learning from electroencephalography signals. CoRR abs/1911.05419 (2019) - 2015
- [i1]Carl-Friedrich Schleussner, Jonathan F. Donges, Denis A. Engemann, Anders Levermann:
Co-evolutionary behaviour selection in adaptive social networks predicts clustered marginalization of minorities. CoRR abs/1512.05013 (2015)
Coauthor Index
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