Edouard Duchesnay

Identifiants chercheurs

IdHAL :

edouard-duchesnay

ORCID :

0000-0002-4073-3490

arXiv :

duchesnay_e_1

Présentation

As a leader of the team “Signatures of brain disorders” at NeuroSpin, CEA, Université Paris-Saclay, France, I supervise the design of machine learning and statistical models to uncover neural signatures predictive of clinical trajectories in psychiatric disorders. To unlock the access to data required by learning algorithms, I oversee the data management, calculation, and regulation (GDPR) of large-scale national and European initiatives.

Publications

Article dans une revue (56)

Robust brain age estimation from structural MRI with contrastive learning Carlo Alberto Barbano,Benoit Dufumier,Edouard Duchesnay,Marco Grangetto,Pietro Gori Pattern Recognition Letters, 2026, 203, pp.78-84. ⟨10.1016/j.patrec.2026.02.032⟩ Article dans une revue hal-05546241v1
Decoding cortical folding with deep learning: toward neurodevelopmental biomarkers of psychiatric disorders Pierre Auriau,Antoine Grigis,Jean-François Mangin,Joël Chavas,Julien Lavalet al. Journal of Neural Transmission, 2026, ⟨10.1007/s00702-026-03105-3⟩ Article dans une revue (data paper) hal-05500148v1
Pattern of Deep Grey Matter Undersizing Boosts MRI ‐Based Diagnostic Classifiers in Fetal Alcohol Spectrum Disorders Eliot Kerdreux,Justine Fraize,Alexandra Ntorkou,Pauline Garzón,Richard Delormeet al. Human Brain Mapping, 2025, 46 (8), pp.e70233. ⟨10.1002/hbm.70233⟩ Article dans une revue hal-05593481v1
Pattern of Deep Grey Matter Undersizing Boosts MRI ‐Based Diagnostic Classifiers in Fetal Alcohol Spectrum Disorders Eliot Kerdreux,Justine Fraize,Alexandra Ntorkou,Pauline Garzón,Richard Delormeet al. Human Brain Mapping, 2025, 46 (8), pp.e70233. ⟨10.1002/hbm.70233⟩ Article dans une revue hal-05075733v1
Schizophrenia following early adolescence prodrome: A neurodevelopmental subtype with autism-like sensorimotor and social cognition deficits Anton Iftimovici,Gilles Martinez,Julie Victor,Narjès Bendjemaa,Célia Jantacet al. Schizophrenia Bulletin, 2025, ⟨10.1093/schbul/sbae202⟩ Article dans une revue hal-04995646v1
Neurodevelopmental predictors of treatment response in schizophrenia and bipolar disorder Anton Iftimovici,Emma Krebs,William Dalfin,Adrien Legrand,Linda Scorielset al. Psychological Medicine, 2024, 54 (13), pp.3655 - 3666. ⟨10.1017/s0033291724001776⟩ Article dans une revue hal-04995685v1
Cerebellum and social abilities: A structural and functional connectivity study in a transdiagnostic sample Yue Kong,Mathilde Roser,Indrit Bègue,Yannis Elandaloussi,Nathan Neuet al. Human Brain Mapping, 2024, 45 (10), pp.e26749. ⟨10.1002/hbm.26749⟩ Article dans une revue hal-04995704v1
Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness Chloé Gomez,Lynn Uhrig,Vincent Frouin,Edouard Duchesnay,Béchir Jarrayaet al. Scientific Reports, 2024, 14 (1), pp.31606. ⟨10.1038/s41598-024-76695-1⟩ Article dans une revue hal-04512801v1
Brain growth until adolescence after a neonatal focal injury: sex related differences beyond lesion effect Pierre-Yves Postic,Yann Leprince,Laure Drutel,Emeline Peyric,Ines Ben Abdallahet al. Frontiers in Neuroscience, 2024, 18, ⟨10.3389/fnins.2024.1405381⟩ Article dans une revue cea-04712073v1
Attention-gated 3D CapsNet for robust hippocampal segmentation Clement Poiret,Antoine Bouyeure,Sandesh Patil,Cécile Boniteau,Edouard Duchesnayet al. Journal of Medical Imaging, 2024, 11 (01), pp.014003. ⟨10.1117/1.JMI.11.1.014003⟩ Article dans une revue hal-04995786v1
Exploring the potential of representation and transfer learning for anatomical neuroimaging: application to psychiatry Benoit Dufumier,Pietro Gori,Sara Petiton,Robin Louiset,Jean-François Manginet al. NeuroImage, 2024 Article dans une revue hal-04436585v1
Revisiting the standard for modeling functional brain network activity: Application to consciousness Antoine Grigis,Chloé Gomez,Vincent Frouin,Edouard Duchesnay,Lynn Uhriget al. PLoS ONE, 2024, 19 (12), pp.e0314598. ⟨10.1371/journal.pone.0314598⟩ Article dans une revue hal-04995663v1
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics Clement Poiret,Antoine Bouyeure,Sandesh Patil,Antoine Grigis,Edouard Duchesnayet al. Frontiers in Neuroinformatics, 2023, 17, pp.1130845. ⟨10.3389/fninf.2023.1130845⟩ Article dans une revue hal-04643499v1
Asynchronous neural maturation predicts transition to psychosis Anton Iftimovici,Julie Bourgin,Josselin Houenou,Olivier Gay,Antoine Grigiset al. Psychiatry and Clinical Neurosciences, 2023, 78 (2), pp.104-112. ⟨10.1111/pcn.13612⟩ Article dans une revue hal-04995751v1
Longitudinal MicroRNA Signature of Conversion to Psychosis Anton Iftimovici,Qin He,Chuan Jiao,Edouard Duchesnay,Marie-Odile Krebset al. Schizophrenia Bulletin, 2023, 50 (2), pp.363-373. ⟨10.1093/schbul/sbad080⟩ Article dans une revue inserm-04187662v1
Understanding the relationship between cerebellar structure and social abilities Yannis Elandaloussi,Dorothea L Floris,Pierrick Coupé,Edouard Duchesnay,Angeline Mihailovet al. Molecular Autism, 2023, 14 (1), pp.18. ⟨10.1186/s13229-023-00551-8⟩ Article dans une revue hal-04423198v1
Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning approach Thibault Dupont,Nancy Kentish-Barnes,Frédéric Pochard,Edouard Duchesnay,Elie Azoulay Intensive Care Medicine, 2023, 50 (1), pp.114-124. ⟨10.1007/s00134-023-07288-1⟩ Article dans une revue hal-04995402v1
Enhancing fetal alcohol spectrum disorders diagnosis with a classifier based on the intracerebellar gradient of volumetric undersizing Justine Fraize,Clara Fischer,Monique Elmaleh-Bergès,Eliot Kerdreux,Anita Beggiatoet al. Human Brain Mapping, 2023, 44 (11), pp.4321-4336. ⟨10.1002/hbm.26348⟩ Article dans une revue inserm-04102112v1
Decoding activity in Broca's area predicts the occurrence of auditory hallucinations across subjects Thomas Fovet,Pierre Yger,Renaud Lopes,Amicie de Pierrefeu,Edouard Duchesnayet al. Biological Psychiatry, 2022, 91 (2), pp.194 - 201. ⟨10.1016/j.biopsych.2021.08.024⟩ Article dans une revue hal-03549558v1
Cerebellar atypicalities in autism? Charles Laidi,Dorothea L Floris,Julian Tillmann,Yannis Elandaloussi,Mariam Zabihiet al. Biological Psychiatry, In press, ⟨10.1016/j.biopsych.2022.05.020⟩ Article dans une revue hal-03713143v1
BRAIN ANOMALIES IN EARLY PSYCHOSIS: FROM SECONDARY TO PRIMARY PSYCHOSIS Anton Iftimovici,Boris Chaumette,Edouard Duchesnay,Marie-Odile Krebs Neuroscience and Biobehavioral Reviews, 2022, pp.104716. ⟨10.1016/j.neubiorev.2022.104716⟩ Article dans une revue inserm-03684095v1
OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing Benoit Dufumier,Antoine Grigis,Julie Victor,Corentin Ambroise,Vincent Frouinet al. NeuroImage, 2022, 263, pp.119637. ⟨10.1016/j.neuroimage.2022.119637⟩ Article dans une revue hal-04482833v1
Irritability is associated with decreased cortical surface area and anxiety with decreased gyrification during brain development Camille Piguet,Angeline Mihailov,Antoine Grigis,Charles Laidi,Edouard Duchesnayet al. Frontiers in Psychiatry, 2021, 12, pp.744419. ⟨10.3389/fpsyt.2021.744419⟩ Article dans une revue hal-04995951v1
Lithium prevents grey matter atrophy in patients with bipolar disorder: an international multicenter study Franz Hozer,Samuel Sarrazin,Charles Laidi,Pauline Favre,Melissa Paulinget al. Psychological Medicine, 2021, 51 (7), pp.1201-1210. ⟨10.1017/S0033291719004112⟩ Article dans une revue hal-02876160v1
Neocortical morphometry in Huntington's disease: Indication of the coexistence of abnormal neurodevelopmental and neurodegenerative processes Jean-François Mangin,Denis Rivière,Edouard Duchesnay,Yann Cointepas,Véronique Gauraet al. Neuroimage-Clinical, 2020, 26, pp.102211. ⟨10.1016/j.nicl.2020.102211⟩ Article dans une revue hal-02521738v1
Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions Laurie‐anne Claude,Josselin Houenou,Edouard Duchesnay,Pauline Favre Bipolar Disorders, 2020, 22 (4), pp.334-355. ⟨10.1111/bdi.12895⟩ Article dans une revue hal-05223743v1
Accumulation of Lithium in the Hippocampus of Patients With Bipolar Disorder: A Lithium-7 Magnetic Resonance Imaging Study at 7 Tesla Jacques Stout,Franz Hozer,Arthur Coste,Franck Mauconduit,Nouzha Djebrani Oussediket al. Biological Psychiatry, 2020, 88 (5), pp.426 - 433. ⟨10.1016/j.biopsych.2020.02.1181⟩ Article dans une revue hal-04996019v1
What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group Christopher R K Ching,Derrek P Hibar,Tiril P Gurholt,Abraham Nunes,Sophia I Thomopouloset al. Human Brain Mapping, 2020, 43 (1), pp.56 - 82. ⟨10.1002/hbm.25098⟩ Article dans une revue hal-04995929v1
Predicting the individual risk of psychosis conversion in at-risk mental state (ARMS): a multivariate model reveals the influence of nonpsychotic prodromal symptoms Julie Bourgin,Edouard Duchesnay,Emilie Magaud,Raphaël Gaillard,Mathilde Kazeset al. European Child and Adolescent Psychiatry, 2019, 29 (11), pp.1525 - 1535. ⟨10.1007/s00787-019-01461-y⟩ Article dans une revue hal-04996032v1
Cerebellar parcellation in schizophrenia and bipolar disorder C. Laidi,T. Hajek,F. Spaniel,M. Kolenic,M.‐a. d'Albiset al. Acta Psychiatrica Scandinavica, 2019, 140 (5), pp.468-476. ⟨10.1111/acps.13087⟩ Article dans une revue hal-02354396v1
Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals Pauline Favre,Melissa Pauling,Jacques Stout,Franz Hozer,Samuel Sarrazinet al. Neuropsychopharmacology, 2019, 44 (13), pp.2285 - 2293. ⟨10.1038/s41386-019-0485-6⟩ Article dans une revue hal-05223805v1
Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative Jan Scott,Diego Hidalgo-Mazzei,Rebecca Strawbridge,Allan H. Young,Matthieu Resche-Rigonet al. International Journal of Bipolar Disorders, 2019, 7, pp.20. ⟨10.1186/s40345-019-0156-x⟩ Article dans une revue cea-02316734v1
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty Amicie de Pierrefeu,Tommy Lofstedt,Fouad Hadj-Selem,Mathieu Dubois,Renaud Jardriet al. IEEE Transactions on Medical Imaging, 2018, 37 (2), pp.396 - 407. ⟨10.1109/tmi.2017.2749140⟩ Article dans une revue cea-01883278v1
Different Types of White Matter Hyperintensities in CADASIL Edouard Duchesnay,Fouad Hadj Selem,François de Guio,Mathieu Dubois,Jean-François Manginet al. Frontiers in Neurology, 2018, 9, pp.526. ⟨10.3389/fneur.2018.00526⟩ Article dans une revue cea-01883315v1
Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity Amicie de Pierrefeu,Tommy Löfstedt,Charles Laidi,Fouad Hadj-Selem,J. Bourginet al. Acta Psychiatrica Scandinavica, 2018, 2018, pp.1 - 10. ⟨10.1111/acps.12964⟩ Article dans une revue cea-01883283v1
Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity Amicie de Pierrefeu,Thomas Fovet,Fouad Hadj-Selem,Tommy Lofstedt,Philippe Ciuciuet al. Human Brain Mapping, 2018, 39 (4), pp.1777 - 1788. ⟨10.1002/hbm.23953⟩ Article dans une revue cea-01883271v1
A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem J. Lebenberg,M. Labit,G. Auzias,H. Mohlberg,C. Fischeret al. Brain Structure and Function, 2018, 223 (9), pp.4153-4168. ⟨10.1007/s00429-018-1735-9⟩ Article dans une revue hal-02005978v1
Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group Abraham Nunes,Hugo G Schnack,Christopher R K Ching,Ingrid Agartz,Theophilus N Akudjeduet al. Molecular Psychiatry, 2018, 25 (9), pp.2130 - 2143. ⟨10.1038/s41380-018-0228-9⟩ Article dans une revue hal-04996008v1
Continuation of Nesterov’s Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging Fouad Hadj-Selem,Tommy Lofstedt,Elvis Dohmatob,Vincent Frouin,Mathieu Duboiset al. IEEE Transactions on Medical Imaging, In press, 2018, ⟨10.1109/TMI.2018.2829802⟩ Article dans une revue cea-01883286v1
Genetic Influence on the Sulcal Pits: On the Origin of the First Cortical Folds Yann Le Guen,Guillaume Auzias,François Leroy,Marion Noulhiane,Ghislaine Dehaene-Lambertzet al. Cerebral Cortex, 2017, pp.1 - 12. ⟨10.1093/cercor/bhx098⟩ Article dans une revue hal-01527005v1
White matter changes in microstructure associated with a maladaptive response to stress in rats R Magalhães,J Bourgin,F Boumezbeur,P Marques,M Bottlaenderet al. Translational Psychiatry, 2017, 7 (1), pp.e1009-e1009 Article dans une revue hal-04044406v1
Prediction of 3-year clinical course in CADASIL Eric Jouvent,Edouard Duchesnay,Foued Hadj-Selem,François de Guio,Jean-François Manginet al. Neurology, 2016, 87 (17), pp.1787 - 1795. ⟨10.1212/WNL.0000000000003252⟩ Article dans une revue cea-01883312v1
Hyper-responsivity to stress in rats is associated with a large increase in amygdala volume. A 7 T MRI study J. Bourgin,Arnaud Cachia,F. Boumezbeur,B. Djemaï,M. Bottlaenderet al. European Neuropsychopharmacology, 2015, 25 (6), pp.828-835. ⟨10.1016/j.euroneuro.2015.02.010⟩ Article dans une revue istex hal-04044452v1
A multicenter tractography study of deep white matter tracts in bipolar I disorder: psychotic features and interhemispheric disconnectivity. Samuel Sarrazin,Cyril Poupon,Julia Linke,Michèle Wessa,Mary Phillipset al. JAMA Psychiatry, 2014, 71 (4), pp.388-96. ⟨10.1001/jamapsychiatry.2013.4513⟩ Article dans une revue inserm-01056549v1
Voxelwise multivariate statistics and brain-wide machine learning using the full diffusion tensor. Anne-Laure Fouque,Pierre Fillard,Anne Bargiacchi,Arnaud Cachia,Monica Zilboviciuset al. Med Image Comput Comput Assist Interv, 2011, 14 (Pt 2), pp.9-16 Article dans une revue hal-00700801v1
Scikit-learn: Machine Learning in Python Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirionet al. Journal of Machine Learning Research, 2011 Article dans une revue hal-00650905v2
Feature selection and classification of imbalanced datasets. Application to PET images of children with Autistic Spectrum Disorders Edouard Duchesnay,Arnaud Cachia,Nathalie Boddaert,Nadia Chabane,Jean-Franois Manginet al. NeuroImage, 2011, 57 (3), pp.1003-1014. ⟨10.1016/j.neuroimage.2011.05.011⟩ Article dans une revue cea-01328634v1
Cortical folding in patients with bipolar disorder or unipolar depression. Jani Penttilä,Marie-Laure Paillère-Martinot,Jean-Luc Martinot,Damien Ringuenet,Michèle Wessaet al. Journal of Psychiatry and Neuroscience, 2009, 34 (2), pp.127-35 Article dans une revue inserm-00390374v1
Cortical folding difference between patients with early-onset and patients with intermediate-onset bipolar disorder Jani Penttilä,Arnaud Cachia,Jean-Luc Martinot,Damien Ringuenet,Michèle Wessaet al. Bipolar Disorders, 2009, 11 (4), pp.361-370. ⟨10.1111/j.1399-5618.2009.00683.x⟩ Article dans une revue istex hal-04044504v1
Longitudinal brain metabolic changes from amnestic mild cognitive impairment to Alzheimer's disease Marine Fouquet,Béatrice Desgranges,Brigitte Landeau,Edouard Duchesnay,Florence Mézengeet al. Brain - A Journal of Neurology , 2009, 132 (Pt 8), pp.2058-67. ⟨10.1093/brain/awp132⟩ Article dans une revue inserm-00494098v1
Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics Renaud Maroy,Rephaël Boisgard,Claude Comtat,Vincent Frouin,Pascal Cathieret al. IEEE Transactions on Medical Imaging, 2008, 27, pp.342 - 354. ⟨10.1109/tmi.2007.905106⟩ Article dans une revue hal-05136914v1
Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging. Jessica Dubois,Ghislaine Dehaene-Lambertz,Muriel Perrin,Jean-François Mangin,Yann Cointepaset al. Human Brain Mapping, 2008, 29 (1), pp.14-27. ⟨10.1002/hbm.20363⟩ Article dans une revue hal-00349654v1
Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations Arnaud Cachia,Marie-Laure Paillère-Martinot,André Galinowski,Dominique Januel,Renaud de Beaurepaireet al. NeuroImage, 2008, 39 (3), pp.927-935. ⟨10.1016/j.neuroimage.2007.08.049⟩ Article dans une revue istex hal-04044533v1
Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation Albertine Dubois,Anne-Sophie Herard,Guillaume Flandin,Edouard Duchesnay,Laurent Besretet al. NeuroImage, 2008, 40 (2), pp.482-494. ⟨10.1016/j.neuroimage.2007.11.054⟩ Article dans une revue istex hal-02155677v1
Automated Three-Dimensional Analysis of Histological and Autoradiographic Rat Brain Sections: Application to an Activation Study Albertine Dubois,Julien C. Dauguet,Anne-Sophie Herard,Laurent Besret,Edouard Duchesnayet al. Journal of Cerebral Blood Flow and Metabolism, 2007, 27 (10), pp.1742-1755. ⟨10.1038/sj.jcbfm.9600470⟩ Article dans une revue hal-02155676v1
Inverse retinotopy: inferring the visual content of images from brain activation patterns. Bertrand Thirion,Edouard Duchesnay,Edward Hubbard,Jessica Dubois,Jean-Baptiste Polineet al. NeuroImage, 2006, 33 (4), pp.1104-16. ⟨10.1016/j.neuroimage.2006.06.062⟩ Article dans une revue istex hal-00349668v1

Communication dans un congrès (22)

Does Connectome Harmonic Analysis Pass the Spin Test? Raphaël Vock,Antoine Grigis,Benoit Dufumier,Edouard Duchesnay Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Sep 2025, Daejeon, South Korea. pp.279-287, ⟨10.1007/978-3-032-05162-2_27⟩ Communication dans un congrès hal-05302478v1
How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification? Sara Petiton,Antoine Grigis,Benoit Dufumier,Edouard Duchesnay ISBI 2024 - IEEE International Symposium on Biomedical Imaging, May 2024, Athenes, Greece Communication dans un congrès hal-04631924v2
Supervised diagnosis prediction from cortical sulci: toward the discovery of neurodevelopmental biomarkers in mental disorders Pierre Auriau,Antoine Grigis,Benoit Dufumier,Robin Louiset,Joel Chavaset al. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), IEEE, May 2024, Athènes, Greece Communication dans un congrès hal-04494994v1
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones Robin Louiset,Edouard Duchesnay,A Grigis,Benoit Dufumier,Pietro Gori Medical Imaging with Deep Learning (MIDL), Jul 2024, Paris, France. ⟨10.48550/arXiv.2307.06206⟩ Communication dans un congrès hal-04626620v1
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset,Edouard Duchesnay,Antoine Grigis,Pietro Gori International Conference on Learning Representations (ICLR), May 2024, Vienna, Austria Communication dans un congrès hal-04537203v1
Multi-view variational autoencoders allow for interpretability leveraging digital Avatars: application to the HBN cohort Corentin Ambroise,Antoine Grigis,Edouard Duchesnay,Vincent Frouin ISBI 2023 - 2023 IEEE 20th International Symposium on Biomedical Imaging ISBI, Apr 2023, Cartagene, Colombia. pp.1-5, ⟨10.1109/ISBI53787.2023.10230552⟩ Communication dans un congrès hal-04471508v1
CONTRASTIVE LEARNING FOR REGRESSION IN MULTI-SITE BRAIN AGE PREDICTION Carlo Alberto Barbano,Benoit Dufumier,Edouard Duchesnay,Marco Grangetto,Pietro Gori IEEE ISBI (International Symposium on Biomedical Imaging ), Apr 2023, Cartagena de Indias, Colombia Communication dans un congrès hal-03993158v1
Integrating Prior Knowledge in Contrastive Learning with Kernel Benoit Dufumier,Carlo Alberto Barbano,Robin Louiset,Edouard Duchesnay,Pietro Gori 40 th International Conference on Machine Learning, Jul 2023, Honolulu, United States Communication dans un congrès hal-04111825v1
MixUp brain-cortical augmentations in self-supervised learning Corentin Ambroise,Vincent Frouin,Benoit Dufumier,Edouard Duchesnay,Antoine Grigis Medical Image Computing and Computer Assisted Intervention, Oct 2023, Vancouver, Canada. pp.102-111, ⟨10.1007/978-3-031-44858-4_10⟩ Communication dans un congrès hal-04471607v1
Do neuroplasticity and genetic factors contribute to cognitive training? An imaging-genetics study in healthy children Iris Menu,Qin He,Julie Victor,Gabriela Rezende,Lorna Le Stancet al. The international Congress fot integrative developmental cognitive neuroscience FLUX 2022, Sep 2022, Paris, France Communication dans un congrès hal-04045298v1
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels Benoit Dufumier,Pietro Gori,Julie Victor,Antoine Grigis,Edouard Duchesnay Med-NeurIPS - Workshop NeurIPS, Dec 2021, Vancouver, Canada Communication dans un congrès hal-03523114v1
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning Robin Louiset,Pietro Gori,Benoit Dufumier,Josselin Houenou,Antoine Grigiset al. ECML/PKDD, Sep 2021, Bilbao, Spain Communication dans un congrès hal-03277176v1
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification Benoit Dufumier,Pietro Gori,Julie Victor,Antoine Grigis,Michel Wessaet al. MICCAI, Sep 2021, Strasbourg (virtuel), France Communication dans un congrès hal-03262256v1
Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity Amicie de Pierrefeu,Tommy Lofstedt,Charles Laidi,Fouad Hadj-Selem,Marion Leboyeret al. 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun 2018, Singapore, Singapore. ⟨10.1109/PRNI.2018.8423946⟩ Communication dans un congrès cea-01883311v1
Regional study of the genetic influence on the sulcal pits Yann Le Guen,Guillaume Auzias,Ghislaine Dehaene-Lambertz,Francois Leroy,Jean-François Manginet al. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Apr 2017, Melbourne, France. ⟨10.1109/ISBI.2017.7950472⟩ Communication dans un congrès hal-01784779v1
Voxelwise genome-wide association study on gray matter volume reveals a SLC39A8 variant associated with subcortical structures Hélène Lajous,Benoit da Mota,Jinpeng Li,Edouard Duchesnay,Hervé Lemaîtreet al. Journées RITS 2015, Mar 2015, Dourdan, France. p32-32 Section imagerie génétique Communication dans un congrès inserm-01145592v1
Predictive support recovery with TV-Elastic Net penalty and logistic regression: an application to structural MRI Mathieu Dubois,Fouad Hadj-Selem,Tommy Lofstedt,Matthieu Perrot,Clara Fischeret al. 2014 International Workshop on Pattern Recognition in Neuroimaging, Jun 2014, Tuebingen, Germany. pp.1-4, ⟨10.1109/PRNI.2014.6858517⟩ Communication dans un congrès cea-01016145v1
Structured variable selection for generalized canonical correlation analysis Tommy Lofstedt,Fouad Hadj-Selem,Vincent Guillemot,Cathy Philippe,Edouard Duchesnayet al. PLS’14, May 2014, Paris, France Communication dans un congrès hal-01084048v1
A multi-block approach in imaging genetics Vincent Guillemot,Arthur Tenenhaus,Edouard Duchesnay,Jean-Baptiste Poline,Vincent Frouin 9th International Imaging Genetics Conference, Jan 2013, Irvine, California, United States. pp.Poster 13 Communication dans un congrès hal-00862310v1
A fast computational framework for genome-wide association studies with neuroimaging data Benoit da Mota,Vincent Frouin,Edouard Duchesnay,Soizic Laguitton,Gaël Varoquauxet al. 20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Limassol, Cyprus Communication dans un congrès hal-00720265v1
Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease Cécilia Damon,Edouard Duchesnay,Marine Depecker 2011 Tenth International Conference on Machine Learning and Applications (ICMLA 2011), Dec 2011, Honolulu, United States. pp.384-387, ⟨10.1109/ICMLA.2011.185⟩ Communication dans un congrès hal-02509898v1
Imaging genetics: bio-informatics and bio-statistics challenges Jean-Baptiste Poline,Christophe Lalanne,Arthur Tenenhaus,Edouard Duchesnay,Bertrand Thirionet al. 19th International Conference on Computational Statistics, Aug 2010, Paris, France Communication dans un congrès inria-00523236v1

Poster de conférence (2)

Do neuroplasticity and genetic factors contribute to cognitive training ? An imaging-genetics study in healthy children. Iris Menu,Qin He,Julie Victor,Gabriela Rezende,Lorna Le Stancet al. FLUX congress, Sep 2022, Paris, France Poster de conférence hal-04045249v1
Do neuroplasticity and genetic factors contribute to cognitive training in children? Iris Menu,Qin He,Julie Victor,Gabriela Rezende,Lorna Le Stancet al. OHBM ( Organization for Human Brain Mapping) 2022 Annual Meeting, Jun 2022, Glasgow, United Kingdom Poster de conférence hal-04045235v1

Chapitre d'ouvrage (2)

Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis, The Multiple Facets of Partial Least Squares and Related Methods Tommy Lofstedt,Fouad Hadj-Selem,Vincent Guillemot,Cathy Philippe,Edouard Duchesnayet al. Springer Proceedings in Mathematics & Statistics, pp.129-139, 2016, The Multiple Facets of Partial Least Squares and Related Methods, ⟨10.1007/978-3-319-40643-5_10⟩ Chapitre d'ouvrage hal-01396614v1
Dimension Reduction and Regularization Combined with Partial Least Squares in High Dimensional Imaging Genetics Studies Edith Le Floch,Laura Trinchera,Vincent Guillemot,Arthur Tenenhaus,Jean-Baptiste Polineet al. New Perspectives in Partial Least Squares and Related Methods, Springer, pp.147-158, 2013, Springer Proceedings in Mathematics & Statistics, ⟨10.1007/978-1-4614-8283-3_9⟩ Chapitre d'ouvrage istex hal-01068983v1

Pré-publication, Document de travail (6)

IMPROVING CLINICAL INTERPRETABILITY OF LINEAR NEUROIMAGING MODELS THROUGH FEATURE WHITENING Sara Petiton,Antoine Grigis,Raphaël Vock,Edouard Duchesnay 2025 Pré-publication, Document de travail hal-05574168v1
Bridging genetics and neuroimaging: Polygenic risk score integration with the view to perform weakly supervised learning Antoine Didier,Antoine Grigis,Jean-Christophe Aude,Edouard Duchesnay,Vincent Frouin 2025 Pré-publication, Document de travail hal-05486515v1
Cortical sulci are regional neurodevelopmental biomarkers of schizophrenia diagnosis Aymeric Gaudin,Pierre Auriau,Edouard Duchesnay,Denis Riviere,Joel Chavaset al. 2024 Pré-publication, Document de travail hal-04592457v1
Supplementary material: Continuation of Nesterov's Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging Fouad Hadj-Selem,Tommy Löfstedt,Elvis Dohmatob,Vincent Frouin,Mathieu Duboiset al. 2016 Pré-publication, Document de travail cea-01324021v4
Structured variable selection for generalized canonical correlation analysis Tommy Lofstedt,Fouad Hadj-Selem,Vincent Guillemot,Cathy Philippe,Edouard Duchesnayet al. 2015 Pré-publication, Document de travail hal-01238991v1
Simulated Data for Linear Regression with Structured and Sparse Penalties Tommy Lofstedt,Vincent Guillemot,Vincent Frouin,Edouard Duchesnay,Fouad Hadj-Selem 2014 Pré-publication, Document de travail cea-00914960v3

Thèse (1)

Agents situés dans l'image et organisés en pyramide irrégulière: Contribution à la segmentation par une approche d'agrégation coopérative et adaptative Edouard Duchesnay Intelligence artificielle [cs.AI]. Université Rennes 1, 2001. Français. ⟨NNT : ⟩ Thèse tel-00944164v1

HDR (1)

Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models Edouard Duchesnay Machine Learning [stat.ML]. Université Paris-Saclay, FRA., 2020 HDR tel-03408786v1

Cours (1)

Statistics and Machine Learning in Python Edouard Duchesnay,Tommy Lofstedt,Feki Younes Engineering school. France. 2025 Cours hal-03038776v5