Olivier Colliot
Olivier Colliot - Research Director at CNRS - ARAMIS Lab at the Paris Brain Institute (CNRS/Inria/Inserm/Sorbonne Universite)
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Documents
Identifiants chercheurs
- olivier-colliot
- ResearcherId : B-2092-2012
- 0000-0002-9836-654X
- IdRef : 085263893
- Arxiv : colliot_o_1
- ResearcherId : http://www.researcherid.com/rid/B-2092-2012
Présentation
Research Director at [CNRS](http://www.cnrs.fr/)
Head of the [ARAMIS Lab](http://www.aramislab.fr/), a joint team between [CNRS](http://www.cnrs.fr/), [Inria](http://www.inria.fr/), [Inserm](http://www.inserm.fr/) and [University Pierre and Marie Curie](http://www.upmc.fr/) at the [Paris Brain Institute (ICM)](http://www.icm-institute.org/), in co-direction with Stanley Durrleman.
Homepage: <https://www.aramislab.fr/perso/colliot/>
Email: olivier.colliot@cnrs.fr
Research Director at [CNRS](http://www.cnrs.fr/)
Head of the [ARAMIS Lab](http://www.aramislab.fr/), a joint team between [CNRS](http://www.cnrs.fr/), [Inria](http://www.inria.fr/), [Inserm](http://www.inserm.fr/) and [University Pierre and Marie Curie](http://www.upmc.fr/) at the [Paris Brain Institute (ICM)](http://www.icm-institute.org/), in co-direction with Stanley Durrleman.
Homepage: <https://www.aramislab.fr/perso/colliot/>
Email: olivier.colliot@cnrs.fr
Domaines de recherche
Intelligence artificielle [cs.AI]
Imagerie médicale
Apprentissage [cs.LG]
Traitement des images [eess.IV]
Publications
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Generating PET-derived maps of myelin content from clinical MRI using curricular discriminator training in generative adversarial networksSPIE Medical Imaging, Feb 2024, San Diego, United States
Communication dans un congrès
hal-04362506v1
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Segmentation of new multiple sclerosis lesions on FLAIR MRI using online hard example miningMICCAI-MSSEG-2 - 25th International Conference on Medical Image Computing and Computer Assisted Intervention - challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure, Sep 2021, Strasbourg, France
Communication dans un congrès
hal-03826787v1
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Intensity based Regions Of Interest (ROIs) preselection followed by Convolutional Neuronal Network (CNN) based segmentation for new lesions detection in Multiple SclerosisMICCAI 2021 MSSEG2 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention - Challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2, Sep 2021, Strasbourg, France
Communication dans un congrès
hal-03826791v1
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FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple SclerosisISMRM-ESMRMB 2018 - Joint Annual Meeting, Jun 2018, Paris, France. pp.1-6
Communication dans un congrès
hal-01723070v1
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Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial TrainingMICCAI 2018 – 21st International Conference On Medical Image Computing & Computer Assisted Intervention, Sep 2018, Granada, Spain. ⟨10.1007/978-3-030-00931-1_59⟩
Communication dans un congrès
hal-01810822v1
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Unified analysis of shape and structural connectivity of neural pathwaysOrganisation for Human Brain Mapping, 2015, Honolulu, United States
Communication dans un congrès
hal-01187461v1
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Joint Morphometry of Fiber Tracts and Gray Matter structures using Double DiffeomorphismsIPMI - Information Processing in Medical Imaging, Jun 2015, Isle of Skye, United Kingdom. pp.275-287, ⟨10.1007/978-3-319-19992-4_21⟩
Communication dans un congrès
hal-01142628v1
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A Prototype Representation to Approximate White Matter Bundles with Weighted CurrentsMICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States
Communication dans un congrès
hal-01010702v1
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Bayesian Atlas Estimation for the Variability Analysis of Shape ComplexesMICCAI 2013 : Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. pp.267-274, ⟨10.1007/978-3-642-40811-3_34⟩
Communication dans un congrès
hal-01188791v1
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Towards joint morphometry of white matter tracts and gray matter surfacesHuman Brain Mapping, 2013, Seattle, United States
Communication dans un congrès
hal-00816138v1
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