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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

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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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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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
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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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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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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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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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Spatio-Temporal Alignments: Optimal transport through space and time

 Hicham Janati , Marco Cuturi , Alexandre Gramfort
2019
Pré-publication, Document de travail hal-02309340v2

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
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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
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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

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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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

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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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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Calibration of One-Class SVM for MV set estimation

 Albert Thomas , Vincent Feuillard , Alexandre Gramfort
IEEE DSAA' 2015, Oct 2015, Paris, France
Communication dans un congrès hal-01188294v1
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Learning summary features of time series for likelihood free inference

 Pedro Luiz Coelho Rodrigues , Alexandre Gramfort
Workshop on Machine Learning and the Physical Sciences at the 34th conference on NeurIPS, Dec 2020, Online conference, United States
Communication dans un congrès hal-03367439v1
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Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning

 Sebastian Hitziger , Maureen Clerc , Alexandre Gramfort , Sandrine Saillet , Christian G. Bénar , et al.
OHBM 2014, Jun 2014, Hamburg, Germany.
Poster de conférence hal-01094674v1
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Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity

 Rodolphe Jenatton , Alexandre Gramfort , Vincent Michel , Guillaume Obozinski , Evelyn Eger , et al.
SIAM Journal on Imaging Sciences, 2012, 5 (3), pp.835-856. ⟨10.1137/110832380⟩
Article dans une revue inria-00589785v2

Tracking cortical activity with spatio-temporal constraints using graph-cuts and M/EEG

 Alexandre Gramfort , Théodore Papadopoulo , Benoit Cottereau , Sylvain Baillet , Maureen Clerc
Biomag, Aug 2008, Sapporo, Japan
Communication dans un congrès inria-00336887v1

Spatiotemporal signatures of lexical–semantic prediction

 Ellen Lau , K. Weber , Alexandre Gramfort , M. Hämäläinen , Gina Kuperberg
Cerebral Cortex, 2014
Article dans une revue hal-02287277v1
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M/EEG source localization with multi-scale time-frequency dictionaries

 Yousra Bekhti , Daniel Strohmeier , Mainak Jas , Roland Badeau , Alexandre Gramfort
6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun 2016, Trento, Italy
Communication dans un congrès hal-01306605v1
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Parametric estimation of spectrum driven by an exogenous signal

 Tom Dupré La Tour , Yves Grenier , Alexandre Gramfort
42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017) , Mar 2017, La Nouvelle Orléans, LA, United States
Communication dans un congrès hal-01448603v2
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Total variation regularization for fMRI-based prediction of behaviour.

 Vincent Michel , Alexandre Gramfort , Gaël Varoquaux , Evelyn Eger , Bertrand Thirion
IEEE Transactions on Medical Imaging, 2011, 30 (7), pp.1328 - 1340. ⟨10.1109/TMI.2011.2113378⟩
Article dans une revue inria-00563468v1

OpenMEEG software for forward problems, coping with non-nested geometries

 Maureen Clerc , Alexandre Gramfort , Théodore Papadopoulo
International Conference on Biomagnetism, Aug 2018, Philadelphia, United States
Poster de conférence hal-02077006v1
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Decoding perceptual thresholds from MEG/EEG

 Yousra Bekhti , Nicolas Zilber , Fabian Pedregosa , Philippe Ciuciu , Virginie van Wassenhove , et al.
Pattern Recoginition in Neuroimaging (PRNI) (2014), Jun 2014, Tubingen, Germany. p00
Communication dans un congrès hal-01032909v1

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

 Denis Engemann , Apolline Mellot , Richard Höchenberger , Hubert Banville , David Sabbagh , et al.
NeuroImage, 2022, 262, pp.119521. ⟨10.1016/j.neuroimage.2022.119521⟩
Article dans une revue hal-04063524v1
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