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Poster communications

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

Elina Thibeau-Sutre 1 Mauricio Diaz 1, 2 Ravi Hassanaly 1 Alexandre M Routier 1 Didier Dormont 1, 3 Olivier Colliot 1 Ninon Burgos 1 
1 ARAMIS - Algorithms, models and methods for images and signals of the human brain
SU - Sorbonne Université, Inria de Paris, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
2 SED - Service Expérimentation et Développement [Paris]
3 Service de Neuroradiologie [CHU Pitié-Salpêtrière]
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Poster communications
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https://hal.archives-ouvertes.fr/hal-03423072
Contributor : Elina THIBEAU-SUTRE Connect in order to contact the contributor
Submitted on : Wednesday, November 24, 2021 - 5:03:50 PM
Last modification on : Wednesday, June 8, 2022 - 12:50:08 PM

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  • HAL Id : hal-03423072, version 2

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INSERM | CNRS | INRIA | ICM | INRIA2 | ARAMISLAB | SORBONNE-UNIVERSITE | SU-MEDECINE | SU-TI

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Elina Thibeau-Sutre, Mauricio Diaz, Ravi Hassanaly, Alexandre M Routier, Didier Dormont, et al.. ClinicaDL: an open-source deep learning software for reproducible neuroimaging processing. 3IA Doctoral Workshop, Nov 2021, Toulouse, France. ⟨hal-03423072v2⟩

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