Tools and standards to make neuroimaging derived data reusable

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
Abstract : Neuroimaging is becoming increasingly collaborative. More and more brain imaging datasets are made available to the community, effectively creating a massive distributed resource for neuroscientists. But to make the best use of this asset, we need tools & standards to model and understand the diverse sources of variability present in these data. This talk will discuss recent initiatives to represent and share neuroimaging metadata and how these can help us leverage heterogeneous datasets.
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https://www.hal.inserm.fr/inserm-01886089
Contributor : Camille Maumet <>
Submitted on : Tuesday, October 2, 2018 - 3:32:33 PM
Last modification on : Monday, March 4, 2019 - 2:07:44 PM
Long-term archiving on : Thursday, January 3, 2019 - 3:51:19 PM

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  • HAL Id : inserm-01886089, version 1

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Camille Maumet. Tools and standards to make neuroimaging derived data reusable. Neuroinformatics 2018, Aug 2018, Montreal, Canada. ⟨inserm-01886089⟩

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