Denis A. Engemann
  • Denis A. Engemann
  • About Me
  • Publications

On this page

  • Full Bibliography
  • Selected Publications
    • Peer-reviewed Articles
    • Preprints
Categories
All (22)
AAAI (1)
Alzheimer's Diseas (1)
EEG (7)
M/EEG (8)
MEG (1)
MRI (5)
NeurIPS (2)
Riemannian geometry (3)
age (1)
anaesthesia (1)
biomarker (4)
brain age (10)
burts suppression (1)
channel interpolation (1)
cognitive decline (1)
covariance estimation (1)
deep learning (3)
dementia (1)
denoising (1)
disorders of consciousness (1)
domain adaptation (1)
dynamic programming (1)
explainable AI (2)
interpretable ML (2)
machine learning (13)
mobile EEG (2)
multimodal (4)
multiple sclerosis (1)
neurology (2)
neuroscience (22)
open-source software (1)
paper (22)
preprint (1)
preprocessing (1)
pretext tasks (1)
propofol (1)
published (21)
regularization (1)
review (1)
self supervised (1)
sevoflurane (1)
sex (1)
sleep (1)
spatial filtering (3)
spatial whitening (1)

Full Bibliography

For a comprehensive list of my publications, please see my google scholar and ORCID pages.

Selected Publications

Peer-reviewed Articles

Exploring the neuromagnetic signatures of cognitive decline from mild cognitive impairment to Alzheimer’s disease dementia

Mar 27, 2025
Sinead Gaubert, Pilar Garces, Jörg F Hipp, Ricardo Bruña, Maria Eugenia Lopéz, Fernando Maestu, Delshad Vaghari, Rik Henson, Claire Paquetand Denis A Engemann

GREEN: A lightweight architecture for biomarker exploration with EEG signals

Feb 13, 2025
Joseph Paillard, Joerg F Hipp and Denis A Engemann

Machine learning of brain-specific biomarkers from EEG

Aug 5, 2024
Philipp Bomatter, Joseph Paillard, Pilar Garces, Joerg F Hipp and Denis A Engemann

Variable Importance in High-Dimensional Settings Requires Grouping

Dec 15, 2023
Ahmad Chamma, Bertrand Thirion and Denis A. Engemann

Statistically Valid Variable Importance Assessment through Conditional Permutations

Dec 10, 2023
Ahmad Chamma, Denis A. Engemann and Bertrand Thirion

 

Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study

Jun 16, 2023
Sabbagh, David, Jérôme Cartailler, Cyril Touchard, Jona Joachim, Alexandre Mebazaa, Fabrice Vallée, Étienne Gayat, Alexandre Gramfort, and Denis A. Engemann.

Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling

Apr 27, 2023
Mellot, Apolline, Antoine Collas, Pedro LC Rodrigues, Denis A. Engemann, and Alexandre Gramfort

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility

Apr 14, 2023
Jirsaraie, Robert J., Aaron J. Gorelik, Martins M. Gatavins, Denis A. Engemann, Ryan Bogdan, Deanna M. Barch, and Aristeidis Sotiras.

 

A reusable benchmark of brain-age prediction from M/EEG resting-state signals

Jul 22, 2022
Engemann, Denis A., Apolline Mellot, Richard Höchenberger, Hubert Banville, David Sabbagh, Lukas Gemein, Tonio Ball, and Alexandre Gramfort

 

Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging

Jun 28, 2022
Vieira, Bruno Hebling, Franziskus Liem, Kamalaker Dadi, Denis A. Engemann, Alexandre Gramfort, Pierre Bellec, Richard Cameron Craddock et al.

Brain age as a surrogate marker for cognitive performance in multiple sclerosis

Jun 23, 2022
Denissen, Stijn, Denis Alexander Engemann, Alexander De Cock, Lars Costers, Johan Baijot, Jorne Laton, Iris‐Katharina Penner et al.

 

Robust learning from corrupted EEG with dynamic spatial filtering

Feb 16, 2022
Banville, Hubert, Sean UN Wood, Chris Aimone, Denis-Alexander Engemann, and Alexandre Gramfort.

Population modeling with machine learning can enhance measures of mental health

Oct 15, 2021
Dadi, Kamalaker, Gaël Varoquaux, Josselin Houenou, Danilo Bzdok, Bertrand Thirion, and Denis Engemann.

Uncovering the structure of clinical EEG signals with self-supervised learning

Mar 31, 2021
Banville, Hubert, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, and Alexandre Gramfort.

 

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

May 19, 2020
Engemann, Denis Alexander, Oleh Kozynets, David Sabbagh, Guillaume Lemaitre, Gaël Varoquaux, Franziskus Liem, and Alexandre Gramfort

 

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states

May 18, 2020
Sabbagh, David, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, and Denis A. Engemann.

Manifold-regression to predict from MEG/EEG brain signals without source modeling

Dec 10, 2019
Sabbagh, David, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, and Denis A. Engemann.

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

Oct 4, 2018
Engemann, Denis A., Federico Raimondo, Jean-Rémi King, Benjamin Rohaut, Gilles Louppe, Frédéric Faugeras, Jitka Annen, … & Jacobo Sitt

 

Autoreject: Automated artifact rejection for MEG and EEG data

Jun 14, 2017
Jas, M, Denis A Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort

Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals

Dec 4, 2014
Engemann, Denis A., Alexandre Gramfort

Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals

Feb 1, 2014
Gramfort, A., Martin Luessi, Eric Larson, Denis A Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S Hämäläinen
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Preprints

Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG

Apr 29, 2023
Banville, Hubert, Maurice Abou Jaoude, Sean UN Wood, Chris Aimone, Sebastian C. Holst, Alexandre Gramfort, and Denis-Alexander Engemann.
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