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Towards large-scale brain imaging studies: How to deal with analytic variability?

Camille Maumet 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U1228, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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https://www.hal.inserm.fr/medihal-01798870
Contributor : Camille Maumet Connect in order to contact the contributor
Submitted on : Thursday, October 4, 2018 - 9:17:20 AM
Last modification on : Tuesday, October 19, 2021 - 11:04:36 AM
Long-term archiving on: : Saturday, August 25, 2018 - 1:21:56 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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  • HAL Id : medihal-01798870, version 1

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INSERM | CNRS | UR1-MATH-STIC | UNIV-RENNES1 | CENTRALESUPELEC | IRISA | INRIA | UNIV-RENNES | UR1-UFR-ISTIC | INSA-RENNES

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Camille Maumet. Towards large-scale brain imaging studies: How to deal with analytic variability?. AI in our labs, IRISA / Inria Rennes, Apr 2018, Rennes, France. pp.1-26. ⟨medihal-01798870⟩

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