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]
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A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus from 7T MRIIEEE Transactions on Biomedical Engineering, 2021, 68 (2), pp.393-403. ⟨10.1109/TBME.2020.2999941⟩
Article dans une revue
hal-02359660v2
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Statistical Shape Analysis of Large Datasets Based on Diffeomorphic Iterative CentroidsFrontiers in Neuroscience, 2018, 12, pp.803. ⟨10.3389/fnins.2018.00803⟩
Article dans une revue
hal-01920263v2
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Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's diseaseComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2017, 5 (5), pp.350 - 358. ⟨10.1080/21681163.2015.1035403⟩
Article dans une revue
hal-01135304v1
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Statistical shape analysis of large datasets using diffeomorphic iterative centroidsHuman Brain Mapping - 2015, Jun 2015, Honolulu, United States
Communication dans un congrès
hal-01212226v1
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Characterization of Incomplete Hippocampal Inversions in a large dataset of young healthy subjectsHuman Brain Mapping - 2015, Jun 2015, Honolulu, United States
Communication dans un congrès
hal-01212219v1
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Fast Template-based Shape Analysis using Diffeomorphic Iterative CentroidMIUA 2014 - Medical Image Understanding and Analysis 2014, Jul 2014, Egham, United Kingdom. pp.39-44
Communication dans un congrès
hal-01050590v1
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Template Estimation for Large Database: A Diffeomorphic Iterative Centroid Method Using CurrentsGSI 2013 - First International Conference Geometric Science of Information, Aug 2013, Paris, France. pp.103-111, ⟨10.1007/978-3-642-40020-9_10⟩
Communication dans un congrès
hal-00857440v1
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Modelling morphological variability of the hippocampus using manifold learning and large deformationsOHBM 2012 - 18th Annual Meeting of the Organization for Human Brain Mapping, Jun 2012, Pekin, China
Communication dans un congrès
hal-00816100v1
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Diffeomorphic Iterative Centroid Methods for Template Estimation on Large DatasetsFrank Nielsen. Geometric Theory of Information, Chapter 10, Springer, pp.273-299, 2014, ⟨10.1007/978-3-319-05317-2_10⟩
Chapitre d'ouvrage
hal-00939326v1
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