Michel Dojat

According to our database, Michel Dojat authored at least 90 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat

Neural Networks, January, 2024

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

Artif. Intell. Medicine, 2024

Robust Conformal Volume Estimation in 3D Medical Images.

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization.

Stenzel Cackowski, Emmanuel Luc Barbier, Michel Dojat, Thomas Christen

Medical Image Anal., August, 2023

Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging.

Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification.

Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Multi-layer Aggregation as a Key to Feature-Based OOD Detection.

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images.

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

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, Carole Lartizien

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation.

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

CoRR, 2022

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis.

Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat

CoRR, 2022

Subtle anomaly detection: Application to brain MRI analysis of <i>de novo</i> Parkinsonian patients.

Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat

Artif. Intell. Medicine, 2022

Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust.

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

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021

Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset.

Olivier Commowick, Michaël Kain, Romain Casey, Roxana Ameli, Jean-Christophe Ferré, Anne Kerbrat, Thomas Tourdias, Frédéric Cervenansky, Sorina Camarasu-Pop, Tristan Glatard, Sandra Vukusic, Gilles Edan, Christian Barillot, Michel Dojat, François Cotton

NeuroImage, 2021

Editorial: APPNING: Animal Population Imaging.

Michel Dojat, Jan G. Bjaalie, Emmanuel Luc Barbier

Frontiers Neuroinformatics, 2021

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

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Leveraging 3d Information In Unsupervised Brain Mri Segmentation.

Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Network Embedding For Brain Connectivity.

Lucrezia Carboni, Sophie Achard, Michel Dojat

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies.

Michaël Kain, Marjolaine Bodin, Simon Loury, Yao Chi, Julien Louis, Mathieu Simon, Julien Lamy, Christian Barillot, Michel Dojat

Frontiers Neuroinformatics, 2020

A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps.

Tristan Deruelle, Frank Kober, Adriana Perles-Barbacaru, Thierry Delzescaux, Vincent Noblet, Emmanuel Luc Barbier, Michel Dojat

Frontiers Neuroinformatics, 2020

Deep Learning Models to Study the Early Stages of Parkinson's Disease.

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients.

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

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients.

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Neural circuits for long-range color filling-in.

Peggy Gerardin, Clément Abbatecola, Frédéric Devinck, Henry Kennedy, Michel Dojat, Kenneth Knoblauch

NeuroImage, 2018

2017

Editorial: MAPPING: MAnagement and Processing of Images for Population ImagiNG.

Michel Dojat, David N. Kennedy, Wiro J. Niessen

Frontiers ICT, 2017

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, Thomas Perret, Jan M. Warnking

Proceedings of the 16th Python in Science Conference 2017, 2017

Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes.

Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Irène Troprès, Emmanuel Luc Barbier, Jean-François Payen, Michel Dojat

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation.

Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2016

Effects of aging on low luminance contrast processing in humans.

Emmanuelle Bellot, Véronique Coizet, Jan Warnking, Kenneth Knoblauch, Elena Moro, Michel Dojat

NeuroImage, 2016

2015

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput

IEEE Trans. Medical Imaging, 2015

A Multilayer Ontology of Instruments for Neurological, Behavioral and Cognitive Assessments.

Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Gilles Kassel

Neuroinformatics, 2015

Assessment of Tissue Injury in Severe Brain Trauma.

Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean-François Payen, Michel Dojat

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

2013

Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach.

Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu

IEEE Trans. Medical Imaging, 2013

Retinotopic and Lateralized Processing of Spatial Frequencies in Human Visual Cortex during Scene Categorization.

Benoit Musel, Cécile Bordier, Michel Dojat, Cédric Pichat, Sylvie Chokron, Jean-François Le Bas, Carole Peyrin

J. Cogn. Neurosci., 2013

Variational variable selection to assess experimental condition relevance in event-related fMRI.

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

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

A BOLD signature of eyeblinks in the visual cortex.

Jean-Michel Hupé, Cécile Bordier, Michel Dojat

NeuroImage, 2012

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

Mathieu J. Ruiz, Jean-Michel Hupé, Michel Dojat

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Which registration method for high resolution fMRI to explore hand movement cortical representation?

Fabrizio Pizzagalli, Guillaume Auzias, Chantal Delon-Martin, Michel Dojat

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Adaptive experimental condition selection in event-related fMRI.

Christine Bakhous, Thomas Forbes, Thomas Vincent, Lotfi Chaâri, Michel Dojat, Philippe Ciuciu

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI.

Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Combination of nonlinear registration methods with high resolution fMRI for a fine exploration of human primary motor hand area.

Fabrizio Pizzagalli, Guillaume Auzias, Chantal Delon-Martin, Michel Dojat

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Two new stable anatomical landmarks on the Central Sulcus: Definition, automatic detection, and their relationship with primary motor functions of the hand.

Olivier Coulon, Fabrizio Pizzagalli, Grégory Operto, Guillaume Auzias, Chantal Delon-Martin, Michel Dojat

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation.

Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation.

Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Grid-wide neuroimaging data federation in the context of the NeuroLOG project.

Franck Michel, Alban Gaignard, Farooq Ahmad, Christian Barillot, Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Pascal Girard, David Godard, Gilles Kassel, Diane Lingrand, Grégoire Malandain, Johan Montagnat, Mélanie Pélégrini-Issac, Xavier Pennec, Javier Rojas Balderrama, Bacem Wali

Proceedings of the Healthgrid Applications and Core Technologies, 2010

A core ontology of instruments used for neurological, behavioral and cognitive assessments.

Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Gilles Kassel

Proceedings of the Formal Ontology in Information Systems, 2010

2009

Distributed Local MRF Models for Tissue and Structure Brain Segmentation.

Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat

IEEE Trans. Medical Imaging, 2009

Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans.

Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay

Artif. Intell. Medicine, 2009

A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation.

Benoit Scherrer, Florence Forbes, Michel Dojat

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008

Towards an ontology for sharing medical images and regions of interest in neuroimaging.

Lynda Temal, Michel Dojat, Gilles Kassel, Bernard Gibaud

J. Biomed. Informatics, 2008

2007

Distributed Markovian segmentation: Application to MR brain scans.

Nathalie Richard, Michel Dojat, Catherine Garbay

Pattern Recognit., 2007

Knowledge construction from time series data using a collaborative exploration system.

Thomas Guyet, Catherine Garbay, Michel Dojat

J. Biomed. Informatics, 2007

Segmentation of Magnetic Resonance Brain Images Using Edge and Region Cooperation Characterization of Stroke Lesions.

Yazid Cherfa, Assia Cherfa, Yacine Kabir, Sammyh Kassous, Assia Jaillard, Michel Dojat, Catherine Garbay

Int. Arab J. Inf. Technol., 2007

LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans.

Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

MRF Agent Based Segmentation: Application to MRI Brain Scans.

Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay

Proceedings of the Artificial Intelligence in Medicine, 2007

A Human-Machine Cooperative Approach for Time Series Data Interpretation.

Thomas Guyet, Catherine Garbay, Michel Dojat

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

Federating Distributed and Heterogeneous Information Sources in Neuroimaging: The NeuroBase Project.

Christian Barillot, Habib Benali, Michel Dojat, Alban Gaignard, Bernard Gibaud, Serge Kinkingnéhun, Jean-Pierre Matsumoto, Mélanie Pélégrini-Issac, Eric Simon, Lynda Temal

Proceedings of the Challenges and Opportunities of HealthGrids, 2006

2005

Artificial Intelligence in Medicine in Europe AIME'03.

Michel Dojat, Elpida T. Keravnou

Artif. Intell. Medicine, 2005

Partenariat utilisateur-SMA pour l'apprentissage à partir de séries temporelles : Application au monitoring en soins intensifs (article court).

Thomas Guyet, Catherine Garbay, Michel Dojat

Proceedings of the Systèmes Multi-Agents, 2005

Apprentissage de scénarios à partir de séries temporelles multivariées.

Thomas Guyet, Catherine Garbay, Michel Dojat

Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series.

Thomas Guyet, Catherine Garbay, Michel Dojat

Proceedings of the Artificial Intelligence in Medicine, 2005

2004

Sequence of pattern onset responses in the human visual areas: an fMRI constrained VEP source analysis.

Simo Vanni, Jan Warnking, Michel Dojat, Chantal Delon-Martin, J. Bullier, Christoph Segebarth

NeuroImage, 2004

Timing of interactions across the visual field in the human cortex.

Simo Vanni, Michel Dojat, Jan Warnking, Chantal Delon-Martin, Christoph Segebarth, J. Bullier

NeuroImage, 2004

Statistical shape modeling of low level visual area borders.

Isabelle Corouge, Michel Dojat, Christian Barillot

Medical Image Anal., 2004

Automated segmentation of human brain MR images using a multi-agent approach.

Nathalie Richard, Michel Dojat, Catherine Garbay

Artif. Intell. Medicine, 2004

Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images.

Michel Dojat

Artif. Intell. Medicine, 2004

SmartCare^TM-Automated Clinical Guidelines in Critical Care.

Stefan Mersmann, Michel Dojat

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

Statistical Shape Modeling of Unfolded Retinotopic Maps for a Visual Areas Probabilistic Atlas.

Isabelle Corouge, Michel Dojat, Christian Barillot

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Rôle des données, informations et connaissances dans la construction de scénarios médicaux.

Anne-Sophie Silvent, Catherine Garbay, Pierre-Yves Carry, Michel Dojat

Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation.

Nathalie Richard, Michel Dojat, Catherine Garbay

Proceedings of the Artificial Intelligence in Medicine, 2003

2002

fMRI Retinotopic Mapping - Step by Step.

Jan Warnking, Michel Dojat, Anne Guérin-Dugué, Chantal Delon-Martin, S. Olympieff, Nathalie Richard, Alain Chéhikian, Christoph Segebarth

NeuroImage, 2002

Situated Cooperative Agents: a Powerful Paradigm for MRI Brain Scans Segmentation.

Nathalie Richard, Michel Dojat, Catherine Garbay

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

Application of Information Technology: A UMLS-based Knowledge Acquisition Tool for Rule-based Clinical Decision Support System Development.

Soumeya Achour, Michel Dojat, Claire Rieux, Philippe Bierling, Eric Lepage

J. Am. Medical Informatics Assoc., 2001

Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation.

Nathalie Richard, Michel Dojat, Catherine Garbay

Proceedings of the Artificial Intelligence Medicine, 2001

2000

A cooperative framework for segmentation of MRI brain scans.

Laurence Germond, Michel Dojat, Christopher J. Taylor, Catherine Garbay

Artif. Intell. Medicine, 2000

Knowledge-based information management in intensive care and anesthesia.

Michel Dojat, Silvia Miksch, Jim Hunter

Artif. Intell. Medicine, 2000

1999

Knowledge acquisition environment for the design of a decision support system: application in blood transfusion.

Soumeya Achour, Michel Dojat, Claire Rieux, Philippe Bierling, Eric Lepage

Proceedings of the AMIA 1999, 1999

Using UMLS Knowledge Sources for Designing a Domain Specific Ontology.

Soumeya Achour, Michel Dojat, Jean-Marc Brethon, Gil Blain, Eric Lepage

Proceedings of the AMIA 1999, 1999

A Multi-agent System for MRI Brain Segmentation.

Laurence Germond, Michel Dojat, Christopher J. Taylor, Catherine Garbay

Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion.

Soumeya Achour, Michel Dojat, Jean-Marc Brethon, Gil Blain, Eric Lepage

Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998

Scenario recognition for temporal reasoning in medical domains.

Michel Dojat, Nicolas Ramaux, Dominique Fontaine

Artif. Intell. Medicine, 1998

1997

Using a general theory of time and change in patient monitoring: Experiment and evaluation.

Luca Chittaro, Michel Dojat

Comput. Biol. Medicine, 1997

NéoGanesh: a working system for the automated control of assisted ventilation in ICUs.

Michel Dojat, François Pachet, Zahia Guessoum, D. Touchard, A. Harf, L. Brochard

Artif. Intell. Medicine, 1997

Temporal Scenario Recognition for Intelligent Patient Monitoring.

Nicolas Ramaux, Dominique Fontaine, Michel Dojat

Proceedings of the Artificial Intelligence Medicine, 1997

1996

Realistic Model for Temporal Reasoning in Real-Time Patient Monitoring.

Michel Dojat

Appl. Artif. Intell., 1996

A Real-Time Agent Model in an Asynchronous-Object Environment.

Zahia Guessoum, Michel Dojat

Proceedings of the Agents Breaking Away, 1996

1995

Representing Medical Context Using Rule-Based Object-Oriented Programming Techniques.

Michel Dojat, François Pachet

Proceedings of the Artificial Intelligence Medicine, 1995

Modeling Medical Reasoning with the Event Calculus: An Application to the Management of Mechanical Ventilation.

Luca Chittaro, Marco Del Rosso, Michel Dojat

Proceedings of the Artificial Intelligence Medicine, 1995

1993

Temporal Reasoning in a Medical Expertise.

Michel Dojat, Claudette Sayettat

Proceedings of the SEKE'93, 1993

1992

Representation of a Medical Expertise using the Smalltalk Environment: Putting a Prototype to Work.

Michel Dojat, François Pachet

Proceedings of the TOOLS 1992: 7th International Conference on Technology of Object-Oriented Languages and Systems, 1992