Michel Dojat

Orcid: 0000-0003-2747-6845

According to our database1, Michel Dojat authored at least 88 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Graph-based methods coupled with specific distributional distances for adversarial attack detection.
Neural Networks, January, 2024

2023
ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization.
Medical Image Anal., August, 2023

Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification.
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.
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.
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation.
CoRR, 2022

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis.
CoRR, 2022

Subtle anomaly detection: Application to brain MRI analysis of <i>de novo</i> Parkinsonian patients.
Artif. Intell. Medicine, 2022

Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust.
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.
NeuroImage, 2021

Editorial: APPNING: Animal Population Imaging.
Frontiers Neuroinformatics, 2021

Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Leveraging 3d Information In Unsupervised Brain Mri Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Network Embedding For Brain Connectivity.
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.
Frontiers Neuroinformatics, 2020

A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps.
Frontiers Neuroinformatics, 2020

Deep Learning Models to Study the Early Stages of Parkinson's Disease.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Neural circuits for long-range color filling-in.
NeuroImage, 2018

2017
Editorial: MAPPING: MAnagement and Processing of Images for Population ImagiNG.
Frontiers ICT, 2017

PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function.
Proceedings of the 16th Python in Science Conference 2017, 2017

Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2016
Effects of aging on low luminance contrast processing in humans.
NeuroImage, 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

A Multilayer Ontology of Instruments for Neurological, Behavioral and Cognitive Assessments.
Neuroinformatics, 2015

Assessment of Tissue Injury in Severe Brain Trauma.
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.
IEEE Trans. Medical Imaging, 2013

Retinotopic and Lateralized Processing of Spatial Frequencies in Human Visual Cortex during Scene Categorization.
J. Cogn. Neurosci., 2013

Variational variable selection to assess experimental condition relevance in event-related fMRI.
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.
NeuroImage, 2012

Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination.
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?
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Adaptive experimental condition selection in event-related fMRI.
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.
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.
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.
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.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation.
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.
Proceedings of the Healthgrid Applications and Core Technologies, 2010

A core ontology of instruments used for neurological, behavioral and cognitive assessments.
Proceedings of the Formal Ontology in Information Systems, 2010

2009
Distributed Local MRF Models for Tissue and Structure Brain Segmentation.
IEEE Trans. Medical Imaging, 2009

Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans.
Artif. Intell. Medicine, 2009

A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation.
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.
J. Biomed. Informatics, 2008

2007
Distributed Markovian segmentation: Application to MR brain scans.
Pattern Recognit., 2007

Knowledge construction from time series data using a collaborative exploration system.
J. Biomed. Informatics, 2007

Segmentation of Magnetic Resonance Brain Images Using Edge and Region Cooperation Characterization of Stroke Lesions.
Int. Arab J. Inf. Technol., 2007

LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans.
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.
Proceedings of the Artificial Intelligence in Medicine, 2007

A Human-Machine Cooperative Approach for Time Series Data Interpretation.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
Federating Distributed and Heterogeneous Information Sources in Neuroimaging: The NeuroBase Project.
Proceedings of the Challenges and Opportunities of HealthGrids, 2006

2005
Artificial Intelligence in Medicine in Europe AIME'03.
Artif. Intell. Medicine, 2005

Partenariat utilisateur-SMA pour l'apprentissage à partir de séries temporelles : Application au monitoring en soins intensifs (article court).
Proceedings of the Systèmes Multi-Agents, 2005

Apprentissage de scénarios à partir de séries temporelles multivariées.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series.
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.
NeuroImage, 2004

Timing of interactions across the visual field in the human cortex.
NeuroImage, 2004

Statistical shape modeling of low level visual area borders.
Medical Image Anal., 2004

Automated segmentation of human brain MR images using a multi-agent approach.
Artif. Intell. Medicine, 2004

Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images.
Artif. Intell. Medicine, 2004

SmartCare<sup>TM</sup>-Automated Clinical Guidelines in Critical Care.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Statistical Shape Modeling of Unfolded Retinotopic Maps for a Visual Areas Probabilistic Atlas.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Rôle des données, informations et connaissances dans la construction de scénarios médicaux.
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.
Proceedings of the Artificial Intelligence in Medicine, 2003

2002
fMRI Retinotopic Mapping - Step by Step.
NeuroImage, 2002

Situated Cooperative Agents: a Powerful Paradigm for MRI Brain Scans Segmentation.
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.
J. Am. Medical Informatics Assoc., 2001

Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
A cooperative framework for segmentation of MRI brain scans.
Artif. Intell. Medicine, 2000

Knowledge-based information management in intensive care and anesthesia.
Artif. Intell. Medicine, 2000

1999
Knowledge acquisition environment for the design of a decision support system: application in blood transfusion.
Proceedings of the AMIA 1999, 1999

Using UMLS Knowledge Sources for Designing a Domain Specific Ontology.
Proceedings of the AMIA 1999, 1999

A Multi-agent System for MRI Brain Segmentation.
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.
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.
Artif. Intell. Medicine, 1998

1997
Using a general theory of time and change in patient monitoring: Experiment and evaluation.
Comput. Biol. Medicine, 1997

NéoGanesh: a working system for the automated control of assisted ventilation in ICUs.
Artif. Intell. Medicine, 1997

Temporal Scenario Recognition for Intelligent Patient Monitoring.
Proceedings of the Artificial Intelligence Medicine, 1997

1996
Realistic Model for Temporal Reasoning in Real-Time Patient Monitoring.
Appl. Artif. Intell., 1996

A Real-Time Agent Model in an Asynchronous-Object Environment.
Proceedings of the Agents Breaking Away, 1996

1995
Representing Medical Context Using Rule-Based Object-Oriented Programming Techniques.
Proceedings of the Artificial Intelligence Medicine, 1995

Modeling Medical Reasoning with the Event Calculus: An Application to the Management of Mechanical Ventilation.
Proceedings of the Artificial Intelligence Medicine, 1995

1993
Temporal Reasoning in a Medical Expertise.
Proceedings of the SEKE'93, 1993

1992
Representation of a Medical Expertise using the Smalltalk Environment: Putting a Prototype to Work.
Proceedings of the TOOLS 1992: 7th International Conference on Technology of Object-Oriented Languages and Systems, 1992


  Loading...