Olivier Colliot
Olivier Colliot - Research Director at CNRS - ARAMIS Lab at the Paris Brain Institute (CNRS/Inria/Inserm/Sorbonne Universite)
6
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
- 6
- 6
- 3
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 3
- 2
- 1
- 6
- 3
- 1
|
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PETJournal 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
|
|
Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learningSPIE Medical Imaging, Feb 2024, San Diego, United States
Communication dans un congrès
hal-04419141v1
|
|
Unsupervised anomaly detection in 3D brain FDG PET: A benchmark of 17 VAE-based approachesDeep 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
|
|
Simulation-based evaluation framework for deep learning unsupervised anomaly detection on brain FDG PETSPIE Medical Imaging, Feb 2023, San Diego, United States
Communication dans un congrès
hal-03835015v2
|
|
ClinicaDL: an open-source deep learning software for reproducible neuroimaging processingOHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom
Communication dans un congrès
hal-04279014v1
|
|
Pseudo-healthy image reconstruction with variational autoencoders for anomaly detection: A benchmark on 3D brain FDG PET2024
Pré-publication, Document de travail
hal-04445378v1
|