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Obesity Doubles Mortality in Patients Hospitalized for Severe Acute Respiratory Syndrome Coronavirus 2 in Paris Hospitals, France: A Cohort Study on 5,795 Patients

 Sébastien Czernichow , Nathanael Beeker , Claire Rives‐lange , Emmanuel Guerot , Jean‐luc Diehl , et al.
Obesity, 2020, 28 (12), pp.2282-2289. ⟨10.1002/oby.23014⟩
Article dans une revue hal-03677189v1
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Domain adaptation with optimal transport improves EEG sleep stage classifiers

 Stanislas Chambon , Mathieu N. Galtier , Alexandre Gramfort
Pattern Recognition in Neuroimaging, Jun 2018, Singapour, Singapore
Communication dans un congrès hal-01814190v1
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Predictive usefulness of RT-PCR testing in different patterns of Covid-19 symptomatology: analysis of a French cohort of 12,810 outpatients

 Caroline Apra , Charlotte Caucheteux , Arthur Mensch , Jenny Mansour , Mélodie Bernaux , et al.
Scientific Reports, 2021, 11, pp.21233. ⟨10.1038/s41598-021-99991-6⟩
Article dans une revue hal-03895166v1
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Non-negative Tensor Factorization for Single-Channel EEG Artifact Rejection

 Cécilia Damon , Antoine Liutkus , Alexandre Gramfort , Slim Essid
MLSP, Sep 2013, Southampton, United Kingdom. ⟨10.1109/MLSP.2013.6661983⟩
Communication dans un congrès hal-00959103v1
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Accelerating ISTA with an active set strategy

 Matthieu Kowalski , Pierre Weiss , Alexandre Gramfort , Sandrine Anthoine
OPT 2011: 4th International Workshop on Optimization for Machine Learning, Dec 2011, Sierra Nevada, Spain. pp.7
Communication dans un congrès hal-00696992v2
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Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study

 David Sabbagh , Jérôme Cartailler , Cyril Touchard , Jona Joachim , Alexandre Mebazaa , et al.
British Journal of Anaesthesia open, 2023, 7, pp.100145. ⟨10.1016/j.bjao.2023.100145⟩
Article dans une revue hal-04191894v1

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

 Bruno Hebling Vieira , Franziskus Liem , Kamalaker Dadi , Denis Engemann , Alexandre Gramfort , et al.
Neurobiology of Aging, 2022, 118, pp.55-65. ⟨10.1016/j.neurobiolaging.2022.06.008⟩
Article dans une revue hal-03808175v1

MNE software for processing MEG and EEG data

 Alexandre Gramfort , Martin Luessi , Eric Larson , Denis Engemann , Daniel Strohmeier , et al.
NeuroImage, 2014, 86, pp.446-460. ⟨10.1016/j.neuroimage.2013.10.027⟩
Article dans une revue hal-03541563v1
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Repurposing EEG monitoring of general anaesthesia for building biomarkers of brain ageing: An exploratory study

 David Sabbagh , Jérôme Cartailler , Cyril Touchard , Jona Joachim , Alexandre Mebazaa , et al.
2022
Pré-publication, Document de travail hal-03671308v1
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Spatio-Temporal Alignments: Optimal transport through space and time

 Hicham Janati , Marco Cuturi , Alexandre Gramfort
2019
Pré-publication, Document de travail hal-02309340v2
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Seeing it all: Convolutional network layers map the function of the human visual system

 Michael Eickenberg , Alexandre Gramfort , Gaël Varoquaux , Bertrand Thirion
NeuroImage, 2016, ⟨10.1016/j.neuroimage.2016.10.001⟩
Article dans une revue hal-01389809v1

Sparse DSI: Learning DSI structure for denoising and fast imaging

 Alexandre Gramfort , Poupon Cyril , Maxime Descoteaux
MICCAI, Oct 2012, Nice, France
Communication dans un congrès hal-00723897v1
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Multi-condition M/EEG inverse modeling with sparsity assumptions: how to estimate what is common and what is specific in multiple experimental conditions

 Alexandre Gramfort
Biomag: International Conference on Biomagnetism, Mar 2010, Dubrovnik, Croatia
Communication dans un congrès inria-00468592v1
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Spectral independent component analysis with noise modeling for M/EEG source separation

 Pierre Ablin , Jean-François Cardoso , Alexandre Gramfort
Journal of Neuroscience Methods, 2021, 356, ⟨10.1016/j.jneumeth.2021.109144⟩
Article dans une revue hal-02941908v1
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Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries

 Alexandre Gramfort , Daniel Strohmeier , Jens Haueisen , Matti Hamalainen , Matthieu Kowalski
International Conference on Information Processing in Medical Imaging (IPMI '11), Jul 2011, Irsee, Germany. pp.600-611, ⟨10.1007/978-3-642-22092-0_49⟩
Communication dans un congrès inria-00605502v1
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Total Variation regularization enhances regression-based brain activity prediction

 Vincent Michel , Alexandre Gramfort , Gaël Varoquaux , Bertrand Thirion
1st ICPR Workshop on Brain Decoding - Pattern recognition challenges in neuroimaging - 20th International Conference on Pattern Recognition, Aug 2010, Istanbul, Turkey. pp.9-12, ⟨10.1109/WBD.2010.13⟩
Communication dans un congrès hal-00504095v1
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Improved MEG/EEG source localization with reweighted mixed-norms

 Daniel Strohmeier , Jens Haueisen , Alexandre Gramfort
Pattern Recognition in Neuroimaging, 2014 International Workshop on, Jun 2014, Tubingen, Germany. pp.1-4, ⟨10.1109/PRNI.2014.6858545⟩
Communication dans un congrès hal-01044748v1

GAP Safe screening rules for sparse multi-task and multi-class models

 Eugène Ndiaye , Olivier Fercoq , Alexandre Gramfort , Joseph Salmon
Conference on Neural Information Processing Systems, Dec 2015, Montréal, Canada
Communication dans un congrès hal-02287197v1
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Fast Optimal Transport Averaging of Neuroimaging Data

 Alexandre Gramfort , Gabriel Peyré , Marco Cuturi
Information Processing in Medical Imaging (IPMI), Jun 2015, Isle of Skye, United Kingdom
Communication dans un congrès hal-01135198v1
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Convolutional Monge Mapping Normalization for learning on sleep data

 Theo Gnassounou , Rémi Flamary , Alexandre Gramfort
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems, Dec 2023, Nouvelle Orléans, United States
Communication dans un congrès hal-04359792v1

Parametric models of phase-amplitude coupling in neural time series

 Tom Dupré La Tour , Yves Grenier , Alexandre Gramfort
BASP, Jan 2017, Villars-sur-Ollon, Switzerland
Communication dans un congrès hal-02287880v1

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels

 Guillaume Staerman , Cédric Allain , Alexandre Gramfort , Thomas Moreau
International Conference on Machine Learning, Jul 2023, Honololu, Hawaii, United States. pp.32575-32597
Communication dans un congrès hal-03811810v1

Intracranial Electrode Location and Analysis in MNE-Python

 Alexander Rockhill , Eric Larson , Brittany Stedelin , Alessandra Mantovani , Ahmed Raslan , et al.
Journal of Open Source Software, 2022, 7 (70), pp.3897. ⟨10.21105/joss.03897⟩
Article dans une revue hal-03808209v1

Blind Denoising with Random Greedy Pursuits

 M. Moussalam , Alexandre Gramfort , Laurent Daudet , Gael Richard
IEEE Signal Processing Letters, 2014, 21 (11)
Article dans une revue hal-02286902v1
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Autoreject: Automated artifact rejection for MEG and EEG data

 Mainak Jas , Denis A Engemann , Yousra Bekhti , Federico A Raimondo , Alexandre Gramfort
NeuroImage, 2017, ⟨10.1016/j.neuroimage.2017.06.030⟩
Article dans une revue hal-01562403v1
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Denoising and fast diffusion imaging with physically constrained sparse dictionary learning

 Alexandre Gramfort , Cyril Poupon , Maxime Descoteaux
Medical Image Analysis, 2013, 18 (1), pp.36-49. ⟨10.1016/j.media.2013.08.006⟩
Article dans une revue hal-00867372v1
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International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

 Gabriel A. Brat , Griffin M. Weber , Nils Gehlenborg , Paul Avillach , Nathan P. Palmer , et al.
npj Digital Medicine, 2020, 3 (1), pp.#109. ⟨10.1038/s41746-020-00308-0⟩
Article dans une revue hal-02918344v1
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Multi-subject MEG/EEG source imaging with sparse multi-task regression

 Hicham Janati , Thomas Bazeille , Bertrand Thirion , Marco Cuturi , Alexandre Gramfort
2019
Pré-publication, Document de travail hal-02304194v2
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Self-supervised representation learning from electroencephalography signals

 Hubert Banville , Isabela Albuquerque , Aapo Hyvärinen , Graeme Moffat , Denis-Alexander Engemann , et al.
MLSP 2019 - IEEE 29th International Workshop on Machine Learning for Signal Processing, Oct 2019, Pittsburgh, United States
Communication dans un congrès hal-02361350v1

MEG and EEG data analysis with MNE-Python

 Alexandre Gramfort
Frontiers in Neuroscience, 2013, 7, ⟨10.3389/fnins.2013.00267⟩
Article dans une revue hal-03541569v1
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