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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/).
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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 MRI

Benjamin Lambert , Florence Forbes , Senan Doyle , Alan Tucholka , Michel Dojat
ISMRM 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 médicale

Geoffroy Oudoumanessah , Carole Lartizien , Michel Dojat , Florence Forbes
GRETSI 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 patients

Nicolas Pinon , Geoffroy Oudoumanessah , Robin Trombetta , Michel Dojat , Florence Forbes
ISBI 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 satellitaires

Benjamin Lambert , Florence Forbes , Senan Doyle , Alan Tucholka , Michel Dojat
GRETSI 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 Segmentation

Benjamin Lambert , Florence Forbes , Senan Doyle , Alan Tucholka , Michel Dojat
EGC 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 trust

Benjamin Lambert , Florence Forbes , Senan Doyle , Alan Tucholka , Michel Dojat
iMIMIC 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 Segmentation

Benjamin Lambert , Florence Forbes , Alan Tucholka , Senan Doyle , Michel Dojat
ISMRM-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 VIP

Sorina Camarasu-Pop , Axel Bonnet , Arthur Masson , Michael Kain , Michel Dojat
EGI Conference 2021, Oct 2021, En ligne, France
Conference papers hal-03708105v1
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MSSEG-2: Un challenge d'imagerie médicale sur VIP

Sorina Camarasu-Pop , Axel Bonnet , Arthur Masson , Michael Kain , Michel Dojat
JCAD 2021, Dec 2021, En ligne, France
Conference papers hal-03708108v1
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Network embedding for brain connectivity

Lucrezia Carboni , Sophie Achard , Michel Dojat
ISBI 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 segmentation

Benjamin Lambert , Maxime Louis , Senan Doyle , Florence Forbes , Michel Dojat
ISBI 2021 - 18th International Symposium on Biomedical Imaging, Apr 2021, Nice / Virtual, France. pp.1-4, ⟨10.1109/ISBI48211.2021.9433894⟩
Conference papers hal-03273953v1

EyeProxy_DB : an open database on the visual system of healthy young volunteers (oculometric, EEG and MRI signals)

Nathalie Guyader , Lea Entzmann , Gaëlle Nicolas , Louise Kauffmann , Emmanuelle Kristensen
GDR Vision, Oct 2021, Lille, France
Conference papers hal-03540373v1

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 annotées

Thomas Coudert , Sophie Ancelet , Nadya Pyatigorskaya , Lucia Nichelli , Damien Ricard
Journées 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 Patients

Verónica Muñoz-Ramírez , Nicolas Pinon , Florence Forbes , Carole Lartizien , Michel Dojat
MLCN 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

Imageurs encore un effort si vous voulez partager des données !

Michel Dojat
Journées INS2I Nouvelles imageries : journées en hommage à Christian Barillot, Dec 2020, Rennes, France
Conference papers hal-03030791v1

Interactions workpackages - Hub IAM

Michel Dojat
Journées 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 disease

Verónica Muñoz Ramírez , Virgilio Kmetzsch , Florence Forbes , Michel Dojat
ISBI 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 patients

Verónica Muñoz Ramírez , Florence Forbes , Pierrick Coupé , Michel Dojat
OHBM 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 Patients

Verónica Muñoz Ramírez , Florence Forbes , Pierrick Coupé , Michel Dojat
MEDINFO 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 patients

Verónica Muñoz Ramírez , Florence Forbes , Julyan Arbel , Alexis Arnaud , Michel Dojat
ISBI 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 patients

Verónica Muñoz Ramírez , Florence Forbes , Alexis Arnaud , Michel Dojat
OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy. pp.1-11
Conference papers hal-02415101v1

Sharing Data and Image Processing Pipelines: The Information Analysis & Management initiative

Michel Dojat
FAID: 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 patients

Verónica Muñoz Ramírez , Michel Dojat , Florence Forbes
CNIV 2019 - 3e Congrès National d’Imagerie du Vivant, Feb 2019, Paris, France. pp.1-16
Conference papers hal-02436886v1

Apprentissage Machine et Santé

Michel Dojat
Festival Transfo, Jan 2019, GRENOBLE, France
Conference papers hal-02165661v1

Is the study of Machine Learning distracting for Neurosciences?

Michel Dojat
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)

Christian Barillot , Michel Dojat , Michael Kain
JFR 2018 - Journées Françaises de Radiologie, Oct 2018, Paris, France. pp.1-15
Conference papers inserm-01895605v1

Machine Learning & Neurosciences

Michel Dojat
Workshop 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 Function

Jaime Arias , Philippe Ciuciu , Michel Dojat , Florence Forbes , Aina Frau-Pascual
16th Python in Science Conference (SciPy 2017), Jul 2017, Austin, TX, United States. pp.34-40, ⟨10.25080/shinma-7f4c6e7-006⟩
Conference papers hal-01566457v1

EyeCoG: Eye movements as multidimensional signatures of cognitive and cerebral (dys)functioning

Louise Kauffmann , Carole Peyrin , Michel Dojat , Nathalie Guyader
Journée 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 initiative

Michel Dojat , Bénédicte Batrancourt , Yann Cointepas , Olivier Coulon , Tristan Glatard
OHBM 2016 - 22nd Annual Meeting of the Organization for Human Brain Mapping, Jun 2016, Geneve, Suisse
Conference papers hal-01488230v1

Segmentation des tumeurs cérébrales de bas grade par une approche bayésienne : délinéation manuelle versus automatique

Senan Doyle , Benjamin Lemasson , Flor Vasseur , Pierre Bourdillion , François Ducray
2ème congrès de la SFRMBM (Société Française de Résonance Magnétique en Biologie et Médecine), Mar 2015, Grenoble, France
Conference papers hal-01107520v1

Age-related differences in spatial frequency processing during scene categorization

Stephen Ramanoël , Louise Kauffmann , Michel Dojat , Emilie Cousin , Carole Peyrin
GDR Vision, Dec 2014, Lyon, France
Conference papers hal-02000128v1

Comparison of manual versus automatic delineation of low-grade gliomas based on MR brain scans

Senan Doyle , Benjamin Lemasson , Flor Vasseur , Pierre Bourdillion , François Ducray
Organization 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 fMRI

Christine Bakhous , Florence Forbes , Thomas Vincent , Michel Dojat , Philippe Ciuciu
ISBI 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

Analyse parcimonieuse des données d'IRM fonctionnelle dans un cadre bayésien variationnel

Christine Bakhous , Florence Forbes , Farida Enikeeva , Thomas Vincent , Michel Dojat
45èmes Journées de Statistique, Société Française de Statistique, May 2013, Toulouse, France
Conference papers hal-00933701v1

Sélection de variables dans un cadre Bayésien de traitement de données d'IRM fonctionnelle

Christine Bakhous , Florence Forbes , Thomas Vincent , Lotfi Chaari , Michel Dojat
44e 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 fMRI

Christine Bakhous , Florence Forbes , Thomas Vincent , Lotfi Chaari , Michel Dojat
ISBI 2012 - IEEE International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. pp.1755-1758, ⟨10.1109/ISBI.2012.6235920⟩
Conference papers cea-00710489v1

Neural Plasticity Correlates Of The Thumb Extension Recovery After Tendon Transfer. A Case Study

Olivier A.J. Martin , Fabrizzio Pizzagalli , Chantal Delon-Martin , Michel Dojat , Franck Quaine
OHBM 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 fMRI

Lotfi Chaari , Florence Forbes , Thomas Vincent , Michel Dojat , Philippe Ciuciu
MICCAI 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.

Bernard Gibaud , Gilles Kassel , Michel Dojat , Bénédicte Batrancourt , Franck Michel
American Medical Informatics Association, Oct 2011, Washington DC, United States. pp.472-80
Conference papers hal-00683087v1

Bayesian variational approximation for the joint detection estimation of brain activity in fMRI

Lotfi Chaari , Florence Forbes , Philippe Ciuciu , Thomas Vincent , Michel Dojat
SSP 2011 - IEEE Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.469-472, ⟨10.1109/SSP.2011.5967734⟩
Conference papers hal-00780506v1

Cortical representation of the hand movements

Chantal Delon-Martin , Michel Dojat , Olivier A.J. Martin , François Moutet , Fabrizzio Pizzagalli
2e Rencontres du Pôle Grenoble Cognition, May 2011, Grenoble, France
Conference papers hal-00639422v1

A Variational Bayesian approach for the Joint Detection Estimation of Brain Activity in functional MRI

Lotfi Chaari , Florence Forbes , Philippe Ciuciu , Michel Dojat
43èmes Journées de Statistique, Société Française de Statistique (SFdS), May 2011, Tunis, Tunisia
Conference papers hal-00780559v1

NeuroLOG: A framework for the sharing and reuse of distributed tools and data in neuroimaging

Michel Dojat , Mélanie Pélégrini-Issac , Farooq Ahmad , Christian Barillot , Bénédicte Batrancourt
Organization for Human Brain Mapping (HBM'11), Jun 2011, Quebec, Canada
Conference papers hal-00813796v1

A federated system for sharing and reuse of images and image processing tools in neuroimaging

Bernard Gibaud , Farooq Ahmad , Christian Barillot , Franck Michel , Bacem Wali
Computer 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 assessments

Bénédicte Batrancourt , Michel Dojat , Bernard Gibaud , Gilles Kassel
International 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.

Franck Michel , Alban Gaignard , Farooq Ahmad , Christian Barillot , Bénédicte Batrancourt
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 segmentation

Florence Forbes , Senan Doyle , Daniel Garcia-Lorenzo , Christian Barillot , Michel Dojat
2010 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 Segmentation

Florence Forbes , Senan Doyle , Daniel Garcia-Lorenzo , Christian Barillot , Michel Dojat
13th 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 segmentation

Benoît Scherrer , Florence Forbes , Michel Dojat
MICCAI 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

Cortical and motor plasticity in response to multi digit tendon transfers: a case report

Franck Quaine , Florent Paclet , Violaine Cahouet , Olivier A.J. Martin , Chantal Delon-Martin
ISB 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 temporelles

Thomas Guyet , Catherine Garbay , Michel Dojat
Colloque 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 Fonctionnelle

Cécile Bordier , Michel Dojat , Pierre Lafaye de Micheaux
41èmes Journées de Statistique, Société Française de Statistique, May 2009, Bordeaux, France
Conference papers inria-00386659v1

AnalyzeFMRI: an R package to perform statistical analysis on FMRI datasets

Cécile Bordier , Michel Dojat , Pierre Lafaye de Micheaux
useR! 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 segmentation

Benoit Scherrer , Florence Forbes , Catherine Garbay , Michel Dojat
11th 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 scans

Benoit Scherrer , Dojat Michel , Florence Forbes , Catherine Garbay
AIME 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 lesions

Yacine Kabir , Michel Dojat , Benoît Scherrer , Florence Forbes , Catherine Garbay
EMBS 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 interpretation

Thomas Guyet , Catherine Garbay , Dojat Michel
11th Conference on Artificial Intelligence in Medicine (AIME 2007), Jul 2007, Amsterdam, Netherlands. pp.3-12
Conference papers inserm-00519815v1

A Human-Machine Cooperative Approach for Time Series Data Interpretation

Thomas Guyet , Catherine Garbay , Michel Dojat
The 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 scans

Benoît Scherrer , Michel Dojat , Florence Forbes , Catherine Garbay
MICCAI07 - 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

Une Approche SMA pour la Segmentation Markovienne des Tissus et Structures Présents dans les IRM Cérébrales

Benoit Scherrer , Michel Dojat , Florence Forbes , Catherine Garbay
2èmes journées algéro-françaises en imagerie médicale, JETIM 2006, November, 2006, 2006, Alger, Algeria
Conference papers hal-00953906v1

Computer/Human Structural Coupling for Data Interpretation

Thomas Guyet , Catherine Garbay , Michel Dojat
Proc 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 neuroimaging

Lynda Temal , Pascal Lando , Bernard Gibaud , Michel Dojat , Gilles Kassel
Second 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.

Bernard Gibaud , Christian Barillot , Habib Benali , Michel Dojat , Alban Gaignard
CARS 2006 - Computer Assisted Radiology and Surgery, Jun 2006, Osaka, Japan. pp.41-42
Conference papers inserm-00152138v1

Segmentation Markovienne distribuée et coopérative des tissus et des structures présents dans des IRM cérébrales

Benoit Scherrer , Michel Dojat , Florence Forbes , Catherine Garbay
RFIA - 15ème Congres Reconnaissance des Formes et Intelligence Artificielle, RFIA 2006, 2006, Tours, France. pp.1-10
Conference papers hal-00954054v1

Distributed and Cooperative Markovian Segmentation of tissues and structures in MRI brain scans

Benoit Scherrer , Michel Dojat , Florence Forbes , Catherine Garbay
Human 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 series

Thomas Guyet , Catherine Garbay , Michel Dojat
Artificial 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

Statistical shape modeling of unfolded retinotopic maps for a visual areas probabilistic atlas

Isabelle Corouge , Christian Barillot , Michel Dojat
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2003, Canada. pp.705-713, ⟨10.1007/978-3-540-39899-8_86⟩
Conference papers inserm-00772625v1

Des Objets Concurrents aux Agents Autonomes

Zahia Guessoum , Jean-Pierre Briot , Michel Dojat
Cinquièmes 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 ?

Michel Dojat
Annales des Mines, 2021
Book sections hal-03273728v1
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Conscience sans Cortex

Michel Dojat , Manik Bhattacharjee , Christian Graff
collectif 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 !

Michel Dojat
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 Changes

Christophe Maggia , Thomas Mistral , Senan Doyle , Florence Forbes , Alexandre Krainik
Brainlesion: 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-LOCUS

Senan Doyle , Florence Forbes , Michel Dojat
Proceedings 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 Trauma

Christophe Maggia , Senan Doyle , Florence Forbes , Olivier Heck , Irène Troprès
Brainlesion: 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 Agents

Benoît Scherrer , Florence Forbes , Catherine Garbay , Michel Dojat
Isabelle 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

Graph-based methods coupled with specific distributional distances for adversarial attack detection

Dwight Nwaigwe , Lucrezia Carboni , Martial Mermillod , Sophie Achard , Michel Dojat
Neural Networks, 2024, 169, pp.11-19. ⟨10.1016/j.neunet.2023.10.007⟩
Journal articles hal-04421207v1
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Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis

Benjamin Lambert , Florence Forbes , Senan Doyle , Harmonie Dehaene , Michel Dojat
Artificial Intelligence in Medicine, 2024, 150, pp.102830. ⟨10.1016/j.artmed.2024.102830⟩
Journal articles hal-04687062v1
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Editorial: Automatic methods for multiple sclerosis new lesions detection and segmentation

Olivier Commowick , Benoît Combès , Frédéric Cervenansky , Michel Dojat
Frontiers in Neuroscience, 2023, 17, pp.1176625. ⟨10.3389/fnins.2023.1176625⟩
Journal articles hal-04076125v1
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Nodal statistics-based equivalence relation for graph collections

Lucrezia Carboni , Michel Dojat , Sophie Achard
Physical Review E , 2023, 107 (1), pp.014302. ⟨10.1103/PhysRevE.107.014302⟩
Journal articles hal-03866289v1
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ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization

Stenzel Cackowski , Emmanuel Barbier , Michel Dojat , Thomas Christen
Medical Image Analysis, 2023, 88, pp.102799. ⟨10.1016/j.media.2023.102799⟩
Journal articles hal-04116278v1
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Subtle anomaly detection: Application to brain MRI analysis of de novo Parkinsonian patients

Verónica Muñoz-Ramírez , Virgilio Kmetzsch , Florence Forbes , Sara Meoni , Elena Moro
Artificial Intelligence in Medicine, 2022, 125, pp.102251. ⟨10.1016/j.artmed.2022.102251⟩
Journal articles hal-03578350v1
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Effective connectivity in subcortical visual structures in de novo Patients with Parkinson’s Disease

Emmanuelle Bellot , Louise Kauffmann , Véronique Coizet , Sara Meoni , Elena Moro
Neuroimage-Clinical, 2022, 33, pp.102906. ⟨10.1016/j.nicl.2021.102906⟩
Journal articles hal-04681537v1
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Automated Quantification of Brain Lesion Volume From Post-trauma MR Diffusion-Weighted Images

Thomas Mistral , Pauline Roca , Christophe Maggia , Alan Tucholka , Florence Forbes
Frontiers in Neurology, 2022, 12, pp.740603. ⟨10.3389/fneur.2021.740603⟩
Journal articles hal-03593111v1
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Effective connectivity in subcortical visual structures in de novo Patients with Parkinson’s Disease

Emmanuelle Bellot , Louise Kauffmann , Véronique Coizet , Sara Meoni , Elena Moro
Neuroimage-Clinical, 2022, 33, pp.102906. ⟨10.1016/j.nicl.2021.102906⟩
Journal articles hal-03582724v1
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Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset

Olivier Commowick , Michaël Kain , Romain Casey , Roxana Ameli , Jean-Christophe Ferré
NeuroImage, 2021, 244, pp.1-8. ⟨10.1016/j.neuroimage.2021.118589⟩
Journal articles hal-03358961v1
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Neural correlates of intra-saccadic motion perception

Gaëlle Nicolas , Eric Castet , Adrien Rabier , Emmanuelle Kristensen , Michel Dojat
Journal of Vision, 2021, 21 (11), pp.19. ⟨10.1167/jov.21.11.19⟩
Journal articles hal-03405299v1
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Multivariate pattern analysis of fMRI data for imaginary and real colours in grapheme-colour synaesthesia

Mathieu J Ruiz , Michel Dojat , Jean-Michel Hupé
European Journal of Neuroscience, 2020, 52 (5), pp.3434-3456. ⟨10.1111/ejn.14774⟩
Journal articles hal-03020119v1
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Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies

Michael Kain , Marjolaine Bodin , Simon Loury , Yao Chi , Julien Louis
Frontiers in Neuroinformatics, 2020, 14, pp.1-11. ⟨10.3389/fninf.2020.00020⟩
Journal articles hal-02888669v1
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A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps

Tristan Deruelle , F. Kober , Adriana Perles-Barbacaru , Thierry Delzescaux , Vincent Noblet
Frontiers in Neuroinformatics, 2020, 14, ⟨10.3389/fninf.2020.00022⟩
Journal articles hal-03008867v1

Modulation of visual hallucinations originating from deafferented occipital cortex by robotized transcranial magnetic stimulation

Brice Passera , Sylvain Harquel , Laurent Vercueil , Michel Dojat , Arnaud Attye
Clinical Neurophysiology, 2020, 131 (8), pp.1728-1730. ⟨10.1016/j.clinph.2020.04.009⟩
Journal articles hal-03344921v1

Magnetic resonance imaging does not reveal structural alterations in the brain of grapheme-color synesthetes

Michel Dojat , Fabrizio Pizzagalli , Jean-Michel Hupé
PLoS ONE, 2018, 13 (4), pp.e0194422. ⟨10.1371/journal.pone.0194422⟩
Journal articles hal-02341947v1

Effects of background and contour luminance on the hue and brightness of the Watercolor effect

Peggy Gerardin , Michel Dojat , Kenneth Knoblauch , Frédéric Devinck
Vision Research, 2018, 144, pp.9 - 19. ⟨10.1016/j.visres.2018.01.003⟩
Journal articles hal-01764861v1

Neural circuits for long-range color filling-in

Peggy Gerardin , Clément Abbatecola , Frédéric Devinck , Henry Kennedy , Michel Dojat
NeuroImage, 2018, 181, pp.30 - 43. ⟨10.1016/j.neuroimage.2018.06.083⟩
Journal articles hal-01887326v1
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Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Olivier Commowick , Audrey Istace , Michael Kain , Baptiste Laurent , Florent Leray
Scientific Reports, 2018, 8 (1), pp.13650. ⟨10.1038/s41598-018-31911-7⟩
Journal articles inserm-01847873v3
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Effects of aging on low luminance contrast processing in humans

Emmanuelle Bellot , Véronique Coizet , Jan Warnking , Kenneth Knoblauch , Elena Moro
Journal articles inserm-01341092v1
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Desperately seeking grey matter volume changes in sleep apnea: A methodological review of magnetic resonance brain voxel-based morphometry studies

Sebastien Celle , Chantal Delon-Martin , Frederic Roche , Jean-Claude Barthelemy , Jean-Louis Pépin
Sleep Medicine Reviews, 2016, ⟨10.1016/j.smrv.2015.03.001⟩
Journal articles inserm-02473139v1
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A Multilayer Ontology of Instruments for Neurological, Behavioral and Cognitive Assessments.

Bénédicte Batrancourt , Michel Dojat , Bernard Gibaud , Gilles Kassel
Neuroinformatics, 2015, 13 (1), pp.93-110. ⟨10.1007/s12021-014-9244-3⟩
Journal articles inserm-01069670v1
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Quantitative evaluation of fMRI retinotopic maps, from V1 to V4, for cognitive experiments

Cécile Bordier , Jean-Michel Hupé , Michel Dojat
Frontiers in Human Neuroscience, 2015, 9, pp.277-289. ⟨10.3389/fnhum.2015.00277⟩
Journal articles inserm-01166889v1
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A critical review of the neuroimaging literature on synesthesia

Jean-Michel Hupé , Michel Dojat
Frontiers in Human Neuroscience, 2015, 9, pp.1-37. ⟨10.3389/fnhum.2015.00103⟩
Journal articles inserm-01166891v1

Age-Related Differences in Spatial Frequency Processing during Scene Categorization.

Stephen Ramanoël , Louise Kauffmann , Emilie Cousin , Michel Dojat , Carole Peyrin
PLoS ONE, 2014, 10 (8), pp.e0134554. ⟨10.1371/journal.pone.0134554⟩
Journal articles hal-01196755v1
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Contributions of contour frequency, amplitude, and luminance to the watercolor effect estimated by conjoint measurement Fr ed eric Devinck

Peggy Gerardin , Frédéric Devinck , Michel Dojat , Kenneth Knoblauch
Journal of Vision, 2014, pp.1-14. ⟨10.1167/14.4.9⟩
Journal articles inserm-01166901v1
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Quantifying the watercolor effect: from stimulus properties to neural models

Frédéric Devinck , Peggy Gerardin , Michel Dojat , Kenneth Knoblauch
Frontiers in Human Neuroscience, 2014, 8, pp.1-9. ⟨10.3389/fnhum.2014.00805⟩
Journal articles inserm-01166906v1
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern Menze , Andras Jakab , Stefan Bauer , Jayashree Kalpathy-Cramer , Keyvan Farahani
IEEE Transactions on Medical Imaging, 2014, 34 (10), pp.1993-2024. ⟨10.1109/TMI.2014.2377694⟩
Journal articles hal-00935640v2
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Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach

Lotfi Chaari , Thomas Vincent , Florence Forbes , Michel Dojat , Philippe Ciuciu
IEEE Transactions on Medical Imaging, 2013, 32 (5), pp.821-837. ⟨10.1109/TMI.2012.2225636⟩
Journal articles inserm-00753873v1
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Local landmark alignment for high-resolution fMRI group studies: toward a fine cortical investigation of hand movements in human.

Fabrizio Pizzagalli , Guillaume Auzias , Chantal Delon-Martin , Michel Dojat
Journal of Neuroscience Methods, 2013, 218 (1), pp.83-95. ⟨10.1016/j.jneumeth.2013.05.005⟩
Journal articles inserm-00874380v1
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Spatial selectivity of the watercolor effect

Frédéric Devinck , Peggy Gerardin , Michel Dojat , Kenneth Knoblauch
Journal of the Optical Society of America. A Optics, Image Science, and Vision, 2013, pp.A1-A6. ⟨10.1364/JOSAA.31.0000A1⟩
Journal articles inserm-01166904v1
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Retinotopic and lateralized processing of spatial frequencies in human visual cortex during scene categorization.

Benoit Musel , Cécile Bordier , Michel Dojat , Cédric Pichat , Sylvie Chokron
Journal of Cognitive Neuroscience, 2013, 25 (8), pp.1315-31. ⟨10.1162/jocn_a_00397⟩
Journal articles hal-00827617v1

Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination

Mathieu J. Ruiz , Jean-Michel Hupé , Michel Dojat
Lecture Notes in Computer Science, 2012, 7588, pp.103-110
Journal articles hal-00766374v1

A BOLD signature of eyeblinks in the visual cortex.

Jean-Michel Hupé , Cécile Bordier , Michel Dojat
NeuroImage, 2012, 61 (1), pp.149-61. ⟨10.1016/j.neuroimage.2012.03.001⟩
Journal articles hal-00685970v1
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Bayesian Markov model for cooperative clustering: application to robust MRI brain scan segmentation

Florence Forbes , Scherrer Benoît , Dojat Michel
Journal de la Société Française de Statistique, 2011, 152 (3), pp.116-141
Journal articles inserm-00752896v1
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The Neural Bases of Grapheme-Color Synesthesia Are Not Localized in Real Color-Sensitive Areas.

Jean-Michel Hupé , Cécile Bordier , Michel Dojat
Cerebral Cortex, 2011, epub ahead of print. ⟨10.1093/cercor/bhr236⟩
Journal articles inserm-00635382v1
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Temporal and Spatial Independent Component Analysis for fMRI Data Sets Embedded in the AnalyzeFMRI R Package

Cécile Bordier , Michel Dojat , Pierre Lafaye de Micheaux
Journal of Statistical Software, 2011, 44 (9), pp.1-24
Journal articles inserm-00659425v1
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Use of maximum end-tidal CO(2) values to improve end-tidal CO(2) monitoring accuracy.

Fabrice Galia , Serge Brimioulle , Frederic Bonnier , Nicolas Vandenbergen , Michel Dojat
Respiratory Care, 2011, 56 (3), pp.278-83. ⟨10.4187/respcare.00837⟩
Journal articles inserm-00635391v1
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fMRI retinotopic mapping at 3 T: benefits gained from correcting the spatial distortions due to static field inhomogeneity.

Flor Vasseur , Chantal Delon-Martin , Cécile Bordier , Jan M. Warnking , Laurent Lamalle
Journal of vision (Charlottesville, Va.), 2010, 10 (12), pp.30. ⟨10.1167/10.12.30⟩
Journal articles inserm-00589249v1
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Agentification of Markov model-based segmentation: application to magnetic resonance brain scans.

Benoît Scherrer , Michel Dojat , Florence Forbes , Catherine Garbay
Artificial Intelligence in Medicine, 2009, 46 (1), pp.81-95. ⟨10.1016/j.artmed.2008.08.012⟩
Journal articles inserm-00381395v1
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Distributed local MRF models for tissue and structure brain segmentation

Benoît Scherrer , Florence Forbes , Catherine Garbay , Michel Dojat
IEEE Transactions on Medical Imaging, 2009, 28 (8), pp.1278-1295. ⟨10.1109/TMI.2009.2014459⟩
Journal articles inserm-00402265v1
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Towards an ontology for sharing medical images and regions of interest in neuroimaging.

Lynda Temal , Michel Dojat , Gilles Kassel , Bernard Gibaud
Journal of Biomedical Informatics, 2008, 41 (5), pp.766-78. ⟨10.1016/j.jbi.2008.03.002⟩
Journal articles inserm-00344293v1

Knowledge construction from time series data using a collaborative exploration approach

Thomas Guyet , Catherine Garbay , Michel Dojat
Journal of Biomedical Informatics, 2007, 40 (6), pp.672-687. ⟨10.1016/j.jbi.2007.09.006⟩
Journal articles inria-00461373v1
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Knowledge construction from time series data using a collaborative exploration system.

Thomas Guyet , Catherine Garbay , Michel Dojat
Journal of Biomedical Informatics, 2007, 40 (6), pp.672-87. ⟨10.1016/j.jbi.2007.09.006⟩
Journal articles inserm-00381739v1
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A multicenter randomized trial of computer-driven protocolized weaning from mechanical ventilation.

François Lellouche , Jordi Mancebo , Philippe Jolliet , Jean Roeseler , Fréderique Schortgen
American Journal of Respiratory and Critical Care Medicine, 2006, 174 (8), pp.894-900. ⟨10.1164/rccm.200511-1780OC⟩
Journal articles inserm-00388976v1
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Global integration of local color differences in transparency perception: An fMRI study.

Michel Dojat , Loÿs Piettre , Chantal Delon-Martin , Mathilde Pachot-Clouard , Christoph Segebarth
Visual Neuroscience, 2006, 23 (3-4), pp.357-64. ⟨10.1017/S0952523806233200⟩
Journal articles inserm-00131774v1
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Federating distributed and heterogeneous information sources in neuroimaging: the NeuroBase Project.

Christian Barillot , Habib Benali , Michel Dojat , Alban Gaignard , Bernard Gibaud
Studies in Health Technology and Informatics, 2006, 120, pp.3-13
Journal articles inserm-00141685v1
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Computer-driven management of prolonged mechanical ventilation and weaning: a pilot study.

Lila Bouadma , François Lellouche , Belen Cabello , Solenne Taillé , Jordi Mancebo
Intensive Care Medicine, 2005, 31 (10), pp.1446-50. ⟨10.1007/s00134-005-2766-2⟩
Journal articles inserm-00391138v1
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Timing of interactions across the visual field in the human cortex.

S. Vanni , Michel Dojat , Jan M. Warnking , Chantal Delon-Martin , Christoph Segebarth
NeuroImage, 2004, 21 (3), pp.818-28. ⟨10.1016/j.neuroimage.2003.10.035⟩
Journal articles inserm-00402337v1
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Statistical shape modeling of low level visual area borders.

Isabelle Corouge , Michel Dojat , Christian Barillot
Medical Image Analysis, 2004, 8 (3), pp.353-60. ⟨10.1016/j.media.2004.06.023⟩
Journal articles inserm-00402298v1
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Automated segmentation of human brain MR images using a multi-agent approach.

Nathalie Richard , Michel Dojat , Catherine Garbay
Artificial Intelligence in Medicine, 2004, 30 (2), pp.153-75
Journal articles inserm-00402306v1
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Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images.

Michel Dojat
Artificial Intelligence in Medicine, 2004, 30 (2), pp.91-5. ⟨10.1016/j.artmed.2003.12.001⟩
Journal articles inserm-00402364v1
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Sequence of pattern onset responses in the human visual areas: an fMRI constrained VEP source analysis.

S. Vanni , Jan M. Warnking , Michel Dojat , Chantal Delon-Martin , Jean Bullier
NeuroImage, 2004, 21 (3), pp.801-17. ⟨10.1016/j.neuroimage.2003.10.047⟩
Journal articles inserm-00402335v1
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fMRI retinotopic mapping--step by step.

Jan M. Warnking , Michel Dojat , Anne Guérin-Dugué , Chantal Delon-Martin , Serge Olympieff
NeuroImage, 2002, 17 (4), pp.1665-83
Journal articles inserm-00402394v1
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Knowledge-based systems for automatic ventilatory management.

Michel Dojat , Laurent J. Brochard
Respiratory Care Clinics, 2001, 7 (3), pp.379-96, viii
Journal articles inserm-00402401v1
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A UMLS-based knowledge acquisition tool for rule-based clinical decision support system development.

Soumeya L. Achour , Michel Dojat , Claire Rieux , Philippe Bierling , Eric Lepage
Journal of the American Medical Informatics Association, 2001, 8 (4), pp.351-60
Journal articles inserm-00402405v1
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A cooperative framework for segmentation of MRI brain scans.

Laurence Germond , Michel Dojat , Chris Taylor , Catherine Garbay
Artificial Intelligence in Medicine, 2000, 20 (1), pp.77-93
Journal articles inserm-00402412v1
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Clinical evaluation of a computer-controlled pressure support mode.

Michel Dojat , Alain Harf , Dominique Touchard , François Lemaire , Laurence Brochard
American Journal of Respiratory and Critical Care Medicine, 2000, 161 (4 Pt 1), pp.1161-6
Journal articles inserm-00402420v1
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Moving illusory contours activate primary visual cortex: an fMRI study.

Mohamed Seghier , Michel Dojat , Chantal Delon-Martin , Christophe Rubin , Jan M. Warnking
Cerebral Cortex, 2000, 10 (7), pp.663-70
Journal articles inserm-00402417v1
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Scenario recognition for temporal reasoning in medical domains

Michel Dojat , Nicolas Ramaux , Dominique Fontaine
Artificial Intelligence in Medicine, 1998, 14 (1-2), pp.139-55. ⟨10.1016/S0933-3657(98)00020-7⟩
Journal articles inserm-00402424v1
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Using a general theory of time and change in patient monitoring: experiment and evaluation.

Luca Chittaro , Michel Dojat
Computers in Biology and Medicine, 1997, 27 (5), pp.435-52
Journal articles inserm-00402432v1
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NéoGanesh: a working system for the automated control of assisted ventilation in ICUs.

Michel Dojat , François Pachet , Zahia Guessoum , Dominique Touchard , Alain Harf
Artificial Intelligence in Medicine, 1997, 11 (2), pp.97-117
Journal articles inserm-00402426v1
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Evaluation of a knowledge-based system providing ventilatory management and decision for extubation.

Michel Dojat , Alain Harf , Dominique Touchard , Martine Laforest , François Lemaire
American Journal of Respiratory and Critical Care Medicine, 1996, 153 (3), pp.997-1004
Journal articles inserm-00402429v1
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A knowledge-based system for assisted ventilation of patients in intensive care units.

Michel Dojat , Laurence Brochard , François Lemaire , Alain Harf
International Journal of Clinical Monitoring and Computing, 1992, 9 (4), pp.239-50
Journal articles inserm-00402430v1
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Segmentation d'IRM multimodales par réseaux de neurones : Stratégies de transfert d'apprentissage pour des ensembles de données de taille limitée

Liliane Daniela Talba Malla Tchamedeu , Benjamin Lambert , Thomas Coudert , Elizabeth Moyal Cohen-Jonathan , Soléakhéna Ken
IABM 2024 - Colloque français d’intelligence artificielle en imagerie biomédicale, Mar 2024, Grenoble, France. pp.1-1, 2024
Conference poster hal-04541089v1
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Radiation-induced neurotoxicity assessed by spatio-temporal modelling combined with artificial Intelligence after brain radiotherapy: the RADIO-AIDE project

Sophie Ancelet , Cecilia Damon , Théo Silvestre , Alice Bressand , Michel Dojat
ISoRED 2023 - International Society for Radiation Epidemiology and Dosimetry 1st meeting, May 2023, Sitges, Spain. 2023
Conference poster irsn-04200854v1
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Nodal statistics-based structural pattern detection for graph collections characterization

Lucrezia Carboni , Michel Dojat , Sophie Achard
Conference of Complex System, Oct 2022, Palma de Mallorca, Spain.
Conference poster hal-03866319v1
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Anomaly detection in the MRI data of newly diagnosed Parkinsonian patients

Verónica Muñoz Ramírez , Florence Forbes , Alexis Arnaud , Elena Moro , Michel Dojat
4e congrès de la Société Française de Résonance Magnétique en Biologie et Médecine - SFRMBM 2019, Mar 2019, Strasbourg, France.
Conference poster hal-02436613v1

Optimisation de la procédure de cartographie rétinotopique par IRMf pour une application clinique

Stephen Ramanoël , Louise Kauffmann , Carole Peyrin , Michel Dojat
Congrès de la Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2015, Grenoble, France
Conference poster hal-01982419v1

Age-related differences in spatial frequency processing during scene categorization

Stephen Ramanoël , Louise Kauffmann , Emilie Cousin , Michel Dojat , Carole Peyrin
Organization of Human Brain Mapping, Jun 2015, Honolulu, United States
Conference poster hal-01982484v1

Effect of RMS contrast normalization on the retinotopic processing of spatial frequencies during scene categorization

Stephen Ramanoël , Louise Kauffmann , Nathalie Guyader , Alan Chauvin , Michel Dojat
Vision Sciences Society Annual Meeting, May 2014, St Pete Beach, United States
Conference poster hal-01982512v1
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MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure

Olivier Commowick , Frédéric Cervenansky , François Cotton , Michel Dojat
MICCAI 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-IAM

Camille Maumet , Michel Dojat
EBRAINS 2024 - First workshop of EBRAINS-France, Oct 2024, Marseille, France. 2024
Documents associated with scientific events hal-04736937v1