2012 · ORBi (University of Liège)
Scikit-learn: Machine Learning in Python
61,319 citationsRead
Most cited
347 papers in total2013 · Frontiers in Neuroscience
MEG and EEG data analysis with MNE-Python
3,867 citationsRead
2014 · Frontiers in Neuroinformatics
Machine learning for neuroimaging with scikit-learn
2,447 citationsRead
2013 · NeuroImage
MNE software for processing MEG and EEG data
1,991 citationsRead
2013 · arXiv (Cornell University)
API design for machine learning software: experiences from the scikit-learn project
1,898 citationsRead
2019 · Journal of Neural Engineering
Deep learning-based electroencephalography analysis: a systematic review
1,516 citationsRead
Newest first
347 papers in total2025
- POT Python Optimal TransportHAL (Le Centre pour la Communication Scientifique Directe) · 42 citations
- Cycling on the Freeway: The perilous state of open-source neuroscience softwareImaging Neuroscience · 5 citations
2024
- The past, present, and future of the brain imaging data structure (BIDS)Imaging Neuroscience · 58 citations
- Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inferencePLoS Computational Biology · 24 citations
- Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEGImaging Neuroscience · 12 citations
- Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG DatasetsEuropean Signal Processing Conference (EUSIPCO) · 7 citations
- Geodesic Optimization for Predictive Shift Adaptation on EEG dataarXiv (Cornell University) · 4 citations
2023
- Evidence of a predictive coding hierarchy in the human brain listening to speechNature Human Behaviour · 313 citations
- Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modelingImaging Neuroscience · 15 citations
- Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory studyBJA Open · 9 citations
- Evaluating the structure of cognitive tasks with transfer learningarXiv (Cornell University) · 4 citations
- Imaging Neuroscience opening editorialImaging Neuroscience · 3 citations
- Local linear convergence of proximal coordinate descent algorithmOptimization Letters · 2 citations
- Convolution Monge Mapping Normalization for learning on sleep dataneural information processing systems · 2 citations
- Multiview Independent Component Analysis with DelaysIEEE International Workshop on Machine Learning for Signal Processing (MLSP) · 2 citations
2022
- A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithmsScientific Data · 168 citations
- Data augmentation for learning predictive models on EEG: a systematic comparisonarXiv (Cornell University) · 113 citations
- Deep language algorithms predict semantic comprehension from brain activityScientific Reports · 96 citations
- A reusable benchmark of brain-age prediction from M/EEG resting-state signalsNeuroImage · 79 citations
- Robust learning from corrupted EEG with dynamic spatial filteringNeuroImage · 46 citations
- Toward a realistic model of speech processing in the brain with self-supervised learningarXiv (Cornell University) · 39 citations
- Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological agingNeurobiology of Aging · 27 citations
- Intracranial Electrode Location and Analysis in MNE-PythonThe Journal of Open Source Software · 13 citations
- Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access datasetNeuroImage · 12 citations
- Benchopt: Reproducible, efficient and collaborative optimization benchmarksarXiv (Cornell University) · 9 citations
- Editorial: From Raw MEG/EEG to Publication: How to Perform MEG/EEG Group Analysis With Free Academic SoftwareFrontiers in Neuroscience · 9 citations
- Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurementsThe Journal of Machine Learning for Biomedical Imaging · 8 citations
- Deep Recurrent Encoder: an end-to-end network to model magnetoencephalography at scaleNeurons Behavior Data analysis and Theory · 7 citations
- Repurposing EEG monitoring of general anaesthesia for building biomarkers of brain ageing: An exploratory studymedRxiv · 3 citations
2021
- Uncovering the structure of clinical EEG signals with self-supervised learningTyöväentutkimus Vuosikirja · 248 citations
Research in numbers
From OpenAlex- article74
- conference paper62
- preprint55
- book chapter3
- editorial2
- arXiv (Cornell University)44
- NeuroImage18
- International Workshop on Pattern Recognition in NeuroImaging15
- HAL (Le Centre pour la Communication Scientifique Directe)14
- Lecture notes in computer science11
- Bertrand Thirion37
- Denis Alexander Engemann32
- Gaël Varoquaux30
- Pierre Ablin16
- Joseph Salmon15
Experience and education
Universities
2022University of Vienna
2013 to 2019ParisTech
2013 to 2019Télécom Paris
2011 to 2014Harvard University
2007 to 2010École nationale des ponts et chaussées
Industry and labs
2013 to 2026Centre National de la Recherche Scientifique
2007 to 2026Institut national de recherche en sciences et technologies du numérique
2025Meta (Israel)
2021Google (United States)
2013 to 2015Institut Mines-Télécom