Michel Dojat
- [GIN] Grenoble Institut des Neurosciences (GIN)
Présentation
Michel Dojat (https://tinyurl.com/Michel-Dojat) is currently Research Director at the Institute National for Health and Medical Research (Inserm) and Deputy scientific director for digital biology and health at Inria. His major scientific fields are Neuroimaging, Neuroinformatics, Image and Signal analysis with a specific focus on Human Vision. He is involved in different AI in medicine projects and has developed specific tools for brain imaging analysis and ICU monitoring. He manages a national project, FLI-IAM, for the management of data, metadata and processing pipelines for in vivo imaging. He contributes to specific actions for supporting data sharing for clinical and preclinical studies. He is cofounder and scientific advisor of Pixyl, an AI-based medical services company. He is IEEE senior fellow, associate editor Brain Imaging Methods (Frontiers in Neuroscience and Frontiers in Neuroimaging), past member of the editorial board of the Artificial Intelligence in Medicine journal (2003-13), regularly serves as reviewer for international journals (Neuroimage, TMI, HBM, Brain, …) and scientific committee member of international conferences (AIM, MICCAI, ISBI, …). He received his engineer diploma in Material Physics from Insa (Lyon, Fr, 1982), a PhD in Computer Science (Paris, Fr, 1994) and a Habilitation à Diriger des Recherches (Grenoble, Fr, 1999). He has been supervising PhD students (20) and post-doctoral fellows (8). See publications http://www.researcherid.com/rid/G-7758-2011.
Domaines de recherche
Compétences
Publications
Publications
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Uncertain-graph framework for restingstate connectivity analysis in comaIABM 2026 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2026, Lyon, France. 2026 |
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Linking neuroinflammation and functional connectivity disruption in coma: a graph-theoretical study1st EBRAINS Student Conference on Interdisciplinary Brain Research, Mar 2026, Nice, France. 2026 |
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Interpretable AI and Graph Theory in Disorders of ConsciousnessIABM 2025 - 3ème Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2025, Nice, France. pp.1-1, 2025 |
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Graph theory in Disorders of Consciousness: Toward multimodal integration2025 - 5th Annual Meeting of the Neuromod Institute, Jul 2025, Antibes, France. , pp.1-1, 2025 |
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Semi-automated approach for quality control and harmonization of large multiparametric and multicenter MRI databases: methodology and applicationSFRMBM 2025 - 7ème congrès de la Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2025, Saint-Malo, France. pp.1-1, 2025 |
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Neuroinflammation and disrupted functional connectivity in coma: a graph-theoretical studyEBRAINS Summit 2025, Dec 2025, Brussels, Belgium. 2025 |
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Segmentation d'IRM multimodales par réseaux de neurones : Stratégies de transfert d'apprentissage pour des ensembles de données de taille limitéeIABM 2024 - Colloque français d’intelligence artificielle en imagerie biomédicale, Mar 2024, Grenoble, France. pp.1-1, 2024 |
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Radiation-induced neurotoxicity assessed by spatio-temporal modelling combined with artificial Intelligence after brain radiotherapy: the RADIO-AIDE projectISoRED 2023 - International Society for Radiation Epidemiology and Dosimetry 1st meeting, May 2023, Sitges, Spain. 2023 |
RADIO-AIDE : une modélisation spatio-temporelle des effets secondaires cognitifs observés dans les suites de la radiothérapie cérébrale34ème congrès de la SFRO, Sep 2023, Montpellier, France |
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Quantitative evaluation of human visual areas' variability noninvasively delineated using a rapid fMRI protocolOHBM 2022 - 28th Annual meeting of the Organization for Humain Brain Mapping, Jun 2022, Glasgow (Ecosse), United Kingdom. |
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Nodal statistics-based structural pattern detection for graph collections characterizationConference of Complex System, Oct 2022, Palma de Mallorca, Spain. |
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Use of EEG localizers for EEG sources localization informed by fMRI at high spatio-temporal resolution (S4 method)GDR VISION, Oct 2021, Lille, France |
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Anomaly detection in the MRI data of newly diagnosed Parkinsonian patients4e congrès de la Société Française de Résonance Magnétique en Biologie et Médecine - SFRMBM 2019, Mar 2019, Strasbourg, France. |
Age-related differences in spatial frequency processing during scene categorizationOrganization of Human Brain Mapping, Jun 2015, Honolulu, United States |
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Optimisation de la procédure de cartographie rétinotopique par IRMf pour une application cliniqueCongrès de la Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2015, Grenoble, France |
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Effect of RMS contrast normalization on the retinotopic processing of spatial frequencies during scene categorizationVision Sciences Society Annual Meeting, May 2014, St Pete Beach, United States |
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Some key elements for exploring the complexity of brainComplex Days 2026, Université Côte d'Azur, Feb 2026, Nice, France |
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Cluster globally, Reduce locally: Scalable efficient dictionary compression for magnetic resonance fingerprintingISBI 2025 - International Symposium in Biomedical Imaging, Apr 2025, Houston, United States. pp.1-5 |
La santé numérique au 21ème siècleAmis des Sciences et Techniques, UIAD, Oct 2025, Grenoble, France |
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Shanoir: vers un partage FAIR des données d’imagerie médicaleIABM 2025 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2025, Nice, France. pp.1-2 |
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Digital Health in the 21thCPR 2025 - 4th Annecy Round Table on Cardio Pulmonary Resuscitation, Jean-Christophe Richard, Apr 2025, Annecy, France |
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Robust Conformal Volume Estimation in 3D Medical ImagesMICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2024, Marakech, Morocco. pp.1-11, ⟨10.1007/978-3-031-72117-5_59⟩ |
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The multi-dimensional aspect of uncertaintyMiccai, Oct 2024, Marrachech, Morocco |
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Reconstruction de sources EEG de potentiels évoqués sur évènements oculaires par déconvolution de coefficients de régression Spline : Application à la perception intra-saccadiqueGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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Estimation incrémentale pour la détection non supervisée d'anomalies multivariées en imagerie médicaleGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-4 |
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Intervalles de confiance pour l'estimation de superficies à partir d'images satellitairesGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-4 |
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Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patientsISBI 2023 - IEEE 20th International Symposium on Biomedical Imaging, Apr 2023, Cartegena de Indias, Colombia. pp.1-5, ⟨10.1109/ISBI53787.2023.10230351⟩ |
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Towards frugal unsupervised detection of subtle abnormalities in medical imaging26th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2023, Vancouver (BC), Canada. pp.1-13 |
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Uncertainty-based Quality Control for Subcortical Structures Segmentation in T1-weighted Brain MRIISMRM 2023 - International Society for Magnetic Resonance in Medicine, Jun 2023, Toronto, Canada. pp.1-4 |
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Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantificationREMIA 2023 - 2nd Workshop on Resource-Efficient Medical Image Analysi, Oct 2023, Vancouver (BC), Canada. ⟨10.48550/arXiv.2308.11969⟩ |
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TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR imagesUNSURE 2023 - 5th International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Oct 2023, Vancouver (BC), Canada. ⟨10.48550/arXiv.2307.15638⟩ |
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Multi-layer Aggregation as a key to feature-based OOD detectionUNSURE 2023 - 5th International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Oct 2023, Vancouver, Canada. ⟨10.48550/arXiv.2307.15647⟩ |
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Safety-Net : Identification automatique des erreurs de segmentation des lésions de la Sclérose-en-PlaquesSFRMBM 2023 - 6ème Congrès Scientifique de la Société Française de Résonance Magnétique en Biologie et Médecine, SFRMBM, Mar 2023, Paris, France |
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Fast Uncertainty Quantification for Deep Learning-based MR Brain SegmentationEGC 2022 - Conference francophone pour l'Extraction et la Gestion des Connaissances, Jan 2022, Blois, France. pp.1-12 |
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Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trustiMIMIC 2022 - Workshop on Interpretability of Machine Intelligence in Medical Image Computing, Sep 2022, Singapore, Singapore. pp.61-70, ⟨10.1007/978-3-031-17976-1_6⟩ |
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Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI SegmentationISMRM-ESMRMB & ISMRT 2022 - 31st Joint Annual Meeting International Society for Magnetic Resonance in Medecine, May 2022, London, United Kingdom. pp.1-3 |
EyeProxy_DB : an open database on the visual system of healthy young volunteers (oculometric, EEG and MRI signals)GDR Vision, Oct 2021, Lille, France |
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Neural Correlates of Intra-saccadic Motion PerceptionGDR VISION, Oct 2021, Lille, France |
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Leveraging 3D information in unsupervised brain MRI segmentationISBI 2021 - 18th International Symposium on Biomedical Imaging, Apr 2021, Nice / Virtual, France. pp.1-4, ⟨10.1109/ISBI48211.2021.9433894⟩ |
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MSSEG-2: Un challenge d'imagerie médicale sur VIPJCAD 2021, Dec 2021, En ligne, France |
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MSSEG-2: A medical imaging challenge on VIPEGI Conference 2021, Oct 2021, En ligne, France |
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Network embedding for brain connectivityISBI 2021 - International Symposium on Biomedical Imaging, Apr 2021, Nice / Virtual, France. pp.1-4, ⟨10.1109/ISBI48211.2021.9433878⟩ |
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Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian PatientsMLCN 2021 - 4th International Workshop in Machine Learning in Clinical Neuroimaging, Sep 2021, Strasbourg, France. pp.34-43, ⟨10.1007/978-3-030-87586-2_4⟩ |
Apport du Transfer Learning pour la segmentation automatique de lésions cérébrales radio-induites chez des patients atteints de glioblastome à partir d’un nombre restreint d’IRMs annotéesJournées de biostatistique 2021 du GDR « Statistiques & Santé », Oct 2021, virtuel, France |
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Deep learning models to study the early stages of Parkinson's diseaseISBI 2020 - IEEE International Symposium on Biomedical Imaging, Apr 2020, Iowa City, United States. pp.1534-1537, ⟨10.1109/ISBI45749.2020.9098529⟩ |
Imageurs encore un effort si vous voulez partager des données !Journées INS2I Nouvelles imageries : journées en hommage à Christian Barillot, Dec 2020, Rennes, France |
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Interactions workpackages - Hub IAMJournées des workpackages de FLI, Nov 2020, GRENOBLE, France |
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Brain abnormalities detection in de Novo Parkinsonian patientsOHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy. pp.1-11 |
Is the study of Machine Learning distracting for Neurosciences?Global Challenges Science Week, Jun 2019, Grenoble, France |
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Sharing Data and Image Processing Pipelines: The Information Analysis & Management initiativeFAID: French American Innovative Day. Procedural medicine in the digital age, Mar 2019, Houston, United States |
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Mixture Models for the characterization of brain abnormalities in "de novo" Parkinsonian patientsCNIV 2019 - 3e Congrès National d’Imagerie du Vivant, Feb 2019, Paris, France. pp.1-16 |
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Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patientsISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. pp.1-4, ⟨10.1109/ISBI.2019.8759544⟩ |
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No structural Brain differences in 'de novo' Parkinsonian patientsOHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy. pp.1-5 |
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No Structural Differences Are Revealed by VBM in 'de novo' Parkinsonian PatientsMEDINFO 2019 - 17th World Congress On Medical And Health Informatics, Aug 2019, Lyon, France. pp.268-272, ⟨10.3233/SHTI190225⟩ |
Apprentissage Machine et SantéFestival Transfo, Jan 2019, GRENOBLE, France |
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Machine Learning & NeurosciencesWorkshop ECCOREV "Intelligence artificielle et Big Data", Nov 2018, Aix-en-Provence, France |
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France Life Imaging and the transversal node for Information Analysis and Management (IAM)JFR 2018 - Journées Françaises de Radiologie, Oct 2018, Paris, France. pp.1-15 |
EyeCoG: Eye movements as multidimensional signatures of cognitive and cerebral (dys)functioningJournée Scientifique de NeuroCoG, Nov 2017, Grenoble, France |
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PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function16th Python in Science Conference (SciPy 2017), Jul 2017, Austin, TX, United States. pp.34-40, ⟨10.25080/shinma-7f4c6e7-006⟩ |
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Sharing Data and Image Processing Pipelines: The Information Analysis & Management initiativeOHBM 2016 - 22nd Annual Meeting of the Organization for Human Brain Mapping, Jun 2016, Geneve, Suisse |
Segmentation des tumeurs cérébrales de bas grade par une approche bayésienne : délinéation manuelle versus automatique2ème congrès de la SFRMBM (Société Française de Résonance Magnétique en Biologie et Médecine), Mar 2015, Grenoble, France |
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Comparison of manual versus automatic delineation of low-grade gliomas based on MR brain scansOrganization for Human Brain Mapping (OHBM) 2014 Annual meeting, Jun 2014, Hambourg, Germany |
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Age-related differences in spatial frequency processing during scene categorizationGDR Vision, Dec 2014, Lyon, France |
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Analyse parcimonieuse des données d'IRM fonctionnelle dans un cadre bayésien variationnel45èmes Journées de Statistique, Société Française de Statistique, May 2013, Toulouse, France |
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Variational Variable Selection To Assess Experimental Condition Relevance In Event-Related fMRIISBI 2013 - 10th IEEE International Symposium on Biomedical Imaging, Apr 2013, San Francisco, United States. pp.1508-1511, ⟨10.1109/ISBI.2013.6556821⟩ |
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Adaptive experimental condition selection in event-related fMRIISBI 2012 - IEEE International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. pp.1755-1758, ⟨10.1109/ISBI.2012.6235920⟩ |
Sélection de variables dans un cadre Bayésien de traitement de données d'IRM fonctionnelle44e Journées de Statistique, Société Française de Statistique, May 2012, Bruxelles, Belgique |
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Neural Plasticity Correlates Of The Thumb Extension Recovery After Tendon Transfer. A Case StudyOHBM 2011 - 17th Annual Meeting of the Organization for Human Brain Mapping, Jun 2011, Québec City, Canada. pp.75 |
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Variational solution to the joint detection estimation of brain activity in fMRIMICCAI 2011 - 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2011, Toronto, Canada. pp.260-268, ⟨10.1007/978-3-642-23629-7_32⟩ |
NeuroLOG: A framework for the sharing and reuse of distributed tools and data in neuroimagingOrganization for Human Brain Mapping (HBM'11), Jun 2011, Quebec, Canada |
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A Variational Bayesian approach for the Joint Detection Estimation of Brain Activity in functional MRI43èmes Journées de Statistique, Société Française de Statistique (SFdS), May 2011, Tunis, Tunisia |
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NeuroLOG: sharing neuroimaging data using an ontology-based federated approach.American Medical Informatics Association, Oct 2011, Washington DC, United States. pp.472-80 |
A federated system for sharing and reuse of images and image processing tools in neuroimagingComputer Assisted Radiology and Surgery (CARS'11), Jun 2011, Berlin, Germany |
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Cortical representation of the hand movementsPôle Grenoble Cognition - 2e Rencontres du Pôle Grenoble Cognition, May 2011, Grenoble, France |
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Bayesian variational approximation for the joint detection estimation of brain activity in fMRISSP 2011 - IEEE Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.469-472, ⟨10.1109/SSP.2011.5967734⟩ |
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Grid-wide neuroimaging data federation in the context of the NeuroLOG project.HealthGrid'10, Jun 2010, Paris, France. pp.112-123, ⟨10.3233/978-1-60750-583-9-112⟩ |
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A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation13th International Conference on Artificial Intelligence and Statistics - AISTATS 2010, May 2010, Sardinia, Italy. pp.225-232 |
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A core ontology of instruments used for neurological, behavioral and cognitive assessmentsInternational conference on formal ontology in information systems, May 2010, Toronto, Canada. pp.185-198, ⟨10.3233/978-1-60750-535-8-185⟩ |
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Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Apr 2010, Rotterdam, Netherlands. pp.69-72, ⟨10.1109/ISBI.2010.5490413⟩ |
Cortical and motor plasticity in response to multi digit tendon transfers: a case reportISB 2009 - XXII Congress of the International Society of Biomechanics 2009, Jul 2009, Le Cap, South Africa |
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L'Analyse en Composantes Indépendantes Temporelle en Imagerie par Résonance Magnétique Fonctionnelle41èmes Journées de Statistique, Société Française de Statistique, May 2009, Bordeaux, France |
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Interprétation collaborative de séries temporellesColloque de l'association pour la recherche cognitive, Dec 2009, Rouen, France |
AnalyzeFMRI: an R package to perform statistical analysis on FMRI datasetsuseR! 2009 - The R User Conference, Jul 2008, Rennes, France. pp.25 |
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A conditional random field approach for coupling local registration with robust tissue and structure segmentationMICCAI 2009 - 12th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2009, London, United Kingdom. pp.540-548, ⟨10.1007/978-3-642-04271-3_66⟩ |
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Fully Bayesian joint model for MR brain scan tissue and structure segmentation11th International Conference on Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008, Sep 2008, New York, NY, United States. pp.1066-1074, ⟨10.1007/978-3-540-85990-1_128⟩ |
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A human-machine cooperative approach for time series data interpretation11th Conference on Artificial Intelligence in Medicine (AIME 2007), Jul 2007, Amsterdam, Netherlands. pp.3-12 |
A Human-Machine Cooperative Approach for Time Series Data InterpretationThe 11th Conference on Artificial Intelligence In Medicine, Aug 2007, Aberdeen, United Kingdom. ⟨10.1007/978-3-540-73599-1_1⟩ |
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MRF agent based segmentation: Application to MRI brain scansAIME 2007 - 11th Conference on Artificial Intelligence in Medicine, Jul 2007, Amsterdam, Netherlands. pp.13-23, ⟨10.1007/978-3-540-73599-1_2⟩ |
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Multimodal MRI segmentation of ischemic stroke lesionsEMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2007, Lyon, France. pp.1595-1598, ⟨10.1109/IEMBS.2007.4352610⟩ |
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LOCUS: local cooperative unified segmentation of MRI brain scansMICCAI07 - 10th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2007, Brisbane, Australia. pp.219-227, ⟨10.1007/978-3-540-75757-3_27⟩ |
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OntoNeuroBase: a multi-layered application ontology in neuroimagingSecond Workshop: Formal Ontologies Meet Industry (FOMI 2006), Dec 2006, trento, Italy |
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Sharing data and image processing tools in neuroimaging.CARS 2006 - Computer Assisted Radiology and Surgery, Jun 2006, Osaka, Japan. pp.41-42 |
Segmentation Markovienne distribuée et coopérative des tissus et des structures présents dans des IRM cérébralesRFIA - 15ème Congres Reconnaissance des Formes et Intelligence Artificielle, RFIA 2006, 2006, Tours, France. pp.1-10 |
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Distributed and Cooperative Markovian Segmentation of tissues and structures in MRI brain scansHuman Brain Mapping Meeting, HBM 2006, June, 2006, 2006, Florence, Italy |
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Computer/Human Structural Coupling for Data InterpretationProc ENACTIVE 2006: Third International Conference on Enactive Interfaces, Enaction and Complexity, 2006, Montpellier, France |
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Une Approche SMA pour la Segmentation Markovienne des Tissus et Structures Présents dans les IRM Cérébrales2èmes journées algéro-françaises en imagerie médicale, JETIM 2006, November, 2006, 2006, Alger, Algeria |
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Human-Computer interaction to learn scenarios from ICU multivariate time seriesArtificial Intelligence in Medicine. Proceedings of the European Conference on Artificial Intelligence in Medicine AIME'05, Jul 2005, Aberdeen- Scotland, United Kingdom. pp.424-428 |
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Statistical shape modeling of unfolded retinotopic maps for a visual areas probabilistic atlasMedical Image Computing and Computer-Assisted Intervention (MICCAI), 2003, Canada. pp.705-713, ⟨10.1007/978-3-540-39899-8_86⟩ |
Des Objets Concurrents aux Agents AutonomesCinquièmes Journées Francophones sur l'Intelligence Artificielle Distribuée et les Systèmes Multi-Agents (JFIADSMA'97), Apr 1997, La Colle-sur-Loup, France. pp.93-107 |
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From out-of-distribution detection to quality controlTrustworthy AI in Medical Imaging, Elsevier, pp.101-126, 2025, 9780443237614. ⟨10.1016/B978-0-44-323761-4.00014-6⟩ |
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Imageurs, encore un effort si vous voulez partager vos données !Ouvrage collectif sur les nouvelles imageries pour la santé, 2021 |
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Conscience sans Cortexcollectif CARMEN. Penser la Conscience. Passerelle entre médecine, biologie, neurosciences, psychologie et philosophie, UGA Editions, pp.141-154, 2021, Prométhée, 978-5-37747-423-3 |
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Pourquoi et comment favoriser le partage en neuroimagerie ?Annales des Mines, 2021 |
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Traumatic Brain Lesion Quantification based on Mean Diffusivity ChangesBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, BrainLes (MICCAI), 10670, Springer, pp.88-99, 2018, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-75238-9_8⟩ |
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Automatic multiple sclerosis lesion segmentation with P-LOCUSProceedings of the 1st MICCAI Challenge on Multiple Sclerosis Lesions Segmentation Challenge Using a Data Management and Processing Infrastructure — MICCAI-MSSEG, pp.17-21, 2016 |
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Assessment of Tissue Injury in Severe Brain TraumaBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. , 9556, Springer International Publishing, pp.57-68, 2016, Lecture Notes in Computer Science, 978-3-319-30857-9. ⟨10.1007/978-3-319-30858-6_6⟩ |
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A Joint Bayesian Framework for MR Brain Scan Tissue and Structure Segmentation Based on Distributed Markovian AgentsIsabelle Bichindaritz, Sachin Vaidya, Ashlesha Jain, and Lakhmi C. Jain. Computational Intelligence in Healthcare 4, Springer, pp.81-101, 2010, Studies in Computational Intelligence, ⟨10.1007/978-3-642-14464-6_5⟩ |
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Ms-Multi-Spine challenge proceedingsMS-MULTISPINE 2025 - Miccai Challenge on MS Lesions Segmentation in Spinal Cord MRIs, Oct 2025, Online event, France. pp.1-35, 2025 |
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MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructureMICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France. , pp.126, 2021 |
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Neuroimaging data sharing with FLI-IAMEBRAINS 2024 - First workshop of EBRAINS-France, Oct 2024, Marseille, France. 2024 |
Penser la ConscienceUGA Editions, 2023, Coll. Prométhée, Collection dirigée par Mireille Albrieux |
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Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis2022 |
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Unsupervised scalable anomaly detection: application to medical imaging[Research Report] Inria Grenoble - Rhône-Alpes; Grenoble Institut des neurosciences. 2022, pp.1-43 |
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Event-related fMRI adaptation paradigm on real and synesthetic colors2011 |
Comprendre le fonctionnement cérébral : Apports de l'Imagerie2020 |
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Algorithme d'Apprentissage de Scénarios à partir de Séries Symboliques Temporelles2006 |
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Neurobase: gestion de données et de connaissances distribuées en neuroimagerie2005 |
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Formulaire de consentement permettant le partage de donnéesFrance. 2018 |