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
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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]
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AD Course Map charts Alzheimer’s disease progressionScientific Reports, 2021, 11 (1), ⟨10.1038/s41598-021-87434-1⟩
Article dans une revue
hal-01964821v3
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Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical ReviewMedical Image Analysis, 2021, 67, pp.101848. ⟨10.1016/j.media.2020.101848⟩
Article dans une revue
hal-02337815v2
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Learning the spatiotemporal variability in longitudinal shape data setsInternational Journal of Computer Vision, 2020, 128, pp.2873-2896. ⟨10.1007/s11263-020-01343-w⟩
Article dans une revue
hal-02091549v5
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Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data setVPH 2020 - Virtual Physiological Human 2020, Aug 2020, Paris / Virtual, France
Communication dans un congrès
hal-02979176v1
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Learning joint shape and appearance representations with metamorphic auto-encodersMICCAI 2020 - 23rd International Conference on Image Computing and Computer Assisted Interventions, Oct 2020, Lima / Virtual, Peru
Communication dans un congrès
hal-03136537v1
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Auto-encoding meshes of any topology with the current-splatting and exponentiation layersGeometry Meets Deep Learning @ ICCV 2019, Oct 2019, Séoul, South Korea
Communication dans un congrès
hal-02087586v2
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Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data setOHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Roma, Italy
Communication dans un congrès
hal-02090275v1
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Learning low-dimensional representations of shape data sets with diffeomorphic autoencodersIPMI 2019 : Information Processing in Medical Imaging, Jun 2019, Hong-Kong, China
Communication dans un congrès
hal-01963736v2
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Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphismsCVPR 2018 - Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States
Communication dans un congrès
hal-01744538v3
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Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline6th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Quebec City, Canada
Communication dans un congrès
hal-01563587v2
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