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Olivier Colliot

Olivier Colliot - Research Director at CNRS - ARAMIS Lab at the Paris Brain Institute (CNRS/Inria/Inserm/Sorbonne Universite)
6
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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

"ravi-hassanaly"
Image document

Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET

 Ravi Hassanaly , Camille Brianceau , Maëlys Solal , Olivier Colliot , Ninon Burgos
Journal of Machine Learning for Biomedical Imaging, 2024, Special Issue for Generative Models, 2, pp.611. ⟨10.59275/j.melba.2024-b87a⟩
Article dans une revue hal-04315738v2
Image document

Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning

 Ravi Hassanaly , Camille Brianceau , Mauricio Diaz , Sophie Loizillon , Elina Thibeau-Sutre
SPIE Medical Imaging, Feb 2024, San Diego, United States
Communication dans un congrès hal-04419141v1
Image document

Unsupervised anomaly detection in 3D brain FDG PET: A benchmark of 17 VAE-based approaches

 Ravi Hassanaly , Camille Brianceau , Olivier Colliot , Ninon Burgos
Deep Generative Models workshop at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Oct 2023, Vancouver, Canada
Communication dans un congrès hal-04185304v1
Image document

Simulation-based evaluation framework for deep learning unsupervised anomaly detection on brain FDG PET

 Ravi Hassanaly , Simona Bottani , Benoît Sauty , Olivier Colliot , Ninon Burgos
SPIE Medical Imaging, Feb 2023, San Diego, United States
Communication dans un congrès hal-03835015v2
Image document

ClinicaDL: an open-source deep learning software for reproducible neuroimaging processing

 Elina Thibeau-Sutre , Mauricio Diaz , Ravi Hassanaly , Olivier Colliot , Ninon Burgos
OHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom
Communication dans un congrès hal-04279014v1
Image document

Pseudo-healthy image reconstruction with variational autoencoders for anomaly detection: A benchmark on 3D brain FDG PET

 Ravi Hassanaly , Maëlys Solal , Olivier Colliot , Ninon Burgos
2024
Pré-publication, Document de travail hal-04445378v1