Michel Dojat
Director of Research, Inserm.
Deputy scientific director for digital biology and digital medicine, Inria.
Cofounder & scientific advisor of Pixyl Medical (https://pixyl.ai/).
70%
Open access
156
Documents
Current affiliations
- 1176212
Researcher identifiers
- michel-dojat
- ResearcherId : G-7758-2011
- 0000-0003-2747-6845
- IdRef : 075440202
- ResearcherId : http://www.researcherid.com/rid/G-7758-2011
Presentation
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.
Research domains
Signal and Image Processing
Skills
Neuroinformatics, Neuroimaging, AI in Medicine, Human Vision
Publications
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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
Conference papers
hal-04126201v1
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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
Conference papers
hal-04437623v1
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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.1-4
Conference papers
hal-03998623v1
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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
Conference papers
hal-04140049v1
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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
Conference papers
hal-03498120v1
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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⟩
Conference papers
hal-03883749v1
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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
Conference papers
hal-03578023v1
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MSSEG-2: A medical imaging challenge on VIPEGI Conference 2021, Oct 2021, En ligne, France
Conference papers
hal-03708105v1
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MSSEG-2: Un challenge d'imagerie médicale sur VIPJCAD 2021, Dec 2021, En ligne, France
Conference papers
hal-03708108v1
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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⟩
Conference papers
hal-03273946v1
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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⟩
Conference papers
hal-03273953v1
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EyeProxy_DB : an open database on the visual system of healthy young volunteers (oculometric, EEG and MRI signals)GDR Vision, Oct 2021, Lille, France
Conference papers
hal-03540373v1
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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
Conference papers
hal-03505861v1
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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⟩
Conference papers
hal-03397081v1
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Imageurs encore un effort si vous voulez partager des données !Journées INS2I Nouvelles imageries : journées en hommage à Christian Barillot, Dec 2020, Rennes, France
Conference papers
hal-03030791v1
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Interactions workpackages - Hub IAMJournées des workpackages de FLI, Nov 2020, GRENOBLE, France
Conference papers
hal-03030811v1
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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. ⟨10.1109/ISBI45749.2020.9098529⟩
Conference papers
hal-03873699v1
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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
Conference papers
hal-02192447v1
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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⟩
Conference papers
hal-02426273v1
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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⟩
Conference papers
hal-01970682v2
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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
Conference papers
hal-02415101v1
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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
Conference papers
hal-02165632v1
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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
Conference papers
hal-02436886v1
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Apprentissage Machine et SantéFestival Transfo, Jan 2019, GRENOBLE, France
Conference papers
hal-02165661v1
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Is the study of Machine Learning distracting for Neurosciences?Global Challenges Science Week, Jun 2019, Grenoble, France
Conference papers
hal-02165642v1
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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
Conference papers
inserm-01895605v1
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Machine Learning & NeurosciencesWorkshop ECCOREV "Intelligence artificielle et Big Data", Nov 2018, Aix-en-Provence, France
Conference papers
hal-02165616v1
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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⟩
Conference papers
hal-01566457v1
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EyeCoG: Eye movements as multidimensional signatures of cognitive and cerebral (dys)functioningJournée Scientifique de NeuroCoG, Nov 2017, Grenoble, France
Conference papers
hal-02000154v1
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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
Conference papers
hal-01488230v1
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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
Conference papers
hal-01107520v1
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Age-related differences in spatial frequency processing during scene categorizationGDR Vision, Dec 2014, Lyon, France
Conference papers
hal-02000128v1
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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
Conference papers
hal-01107700v1
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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⟩
Conference papers
hal-00859391v1
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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
Conference papers
hal-00933701v1
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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
Conference papers
hal-00780088v1
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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⟩
Conference papers
cea-00710489v1
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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
Conference papers
hal-00642142v1
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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⟩
Conference papers
inserm-00635384v1
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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
Conference papers
hal-00683087v1
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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⟩
Conference papers
hal-00780506v1
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Cortical representation of the hand movements2e Rencontres du Pôle Grenoble Cognition, May 2011, Grenoble, France
Conference papers
hal-00639422v1
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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
Conference papers
hal-00780559v1
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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
Conference papers
hal-00813796v1
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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
Conference papers
hal-00690921v1
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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⟩
Conference papers
inserm-00519801v1
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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⟩
Conference papers
inserm-00512799v1
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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⟩
Conference papers
inserm-00723807v1
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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
Conference papers
inserm-00723808v1
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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⟩
Conference papers
inserm-00517880v1
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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
Conference papers
hal-00372763v1
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Interprétation collaborative de séries temporellesColloque de l'association pour la recherche cognitive, Dec 2009, Rouen, France
Conference papers
inria-00461366v1
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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
Conference papers
inria-00386659v1
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AnalyzeFMRI: an R package to perform statistical analysis on FMRI datasetsuseR! 2009 - The R User Conference, Jul 2008, Rennes, France. pp.25
Conference papers
hal-00851143v1
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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⟩
Conference papers
inserm-00356883v1
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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⟩
Conference papers
inserm-00519836v1
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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⟩
Conference papers
inserm-00402278v1
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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
Conference papers
inserm-00519815v1
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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⟩
Conference papers
inria-00461454v1
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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⟩
Conference papers
inserm-00402276v1
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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
Conference papers
hal-00953906v1
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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
Conference papers
hal-00953904v1
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OntoNeuroBase: a multi-layered application ontology in neuroimagingSecond Workshop: Formal Ontologies Meet Industry (FOMI 2006), Dec 2006, trento, Italy
Conference papers
inserm-00140523v1
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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
Conference papers
inserm-00152138v1
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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
Conference papers
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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
Conference papers
hal-00953905v1
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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
Conference papers
inserm-00519870v1
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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⟩
Conference papers
inserm-00772625v1
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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
Conference papers
hal-01629614v1
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Pourquoi et comment favoriser le partage en neuroimagerie ?Annales des Mines, 2021
Book sections
hal-03273728v1
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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
Book sections
hal-03277509v1
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Imageurs, encore un effort si vous voulez partager vos données !Ouvrage collectif sur les nouvelles imageries pour la santé, A paraître
Book sections
hal-03273927v1
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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⟩
Book sections
hal-01704679v1
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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
Book sections
inserm-01417434v1
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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⟩
Book sections
hal-01423467v1
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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⟩
Book sections
inserm-00659300v1
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Comprendre le fonctionnement cérébral : Apports de l'Imagerie2020
Other publications
hal-02464395v1
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Algorithme d'Apprentissage de Scénarios à partir de Séries Symboliques Temporelles2006
Other publications
hal-00954115v1
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Neurobase: gestion de données et de connaissances distribuées en neuroimagerie2005
Other publications
inserm-00139814v1
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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
Reports
hal-03824951v1
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Event-related fMRI adaptation paradigm on real and synesthetic colors2011
Reports
hal-00623554v1
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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
Proceedings
hal-03358968v3
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Neuroimaging data sharing with FLI-IAMEBRAINS 2024 - First workshop of EBRAINS-France, Oct 2024, Marseille, France. 2024
Documents associated with scientific events
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