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]
Publications
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MRI field strength predicts Alzheimer's disease: a case example of bias in the ADNI data setISBI 2022 - International Symposium on Biomedical Imaging, Mar 2022, Kolkata, India. ⟨10.1109/ISBI52829.2022.9761504⟩
Communication dans un congrès
hal-03542213v1
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Association and prediction of phenotypic traits from neuroimaging data using a multi-component mixed model excluding the target vertexSPIE Medical Imaging 2021, Feb 2021, Virtual, United States. pp.10, ⟨10.1117/12.2581022⟩
Communication dans un congrès
hal-03174495v1
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Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyse of Grey-MatterISBI 2020 - International Symposium on Biomedical Imaging, Apr 2020, Iowa City / Virtual, United States
Communication dans un congrès
hal-02477130v1
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A parsimonious model for mass-univariate vertex-wise analysis2022
Pré-publication, Document de travail
hal-03118366v2
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