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Tools and standards to make neuroimaging derived data reusable

Camille Maumet 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique , INSERM - Institut National de la Santé et de la Recherche Médicale : U1228
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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Contributor : Camille Maumet <>
Submitted on : Tuesday, October 2, 2018 - 3:32:33 PM
Last modification on : Friday, July 10, 2020 - 4:02:22 PM
Document(s) archivé(s) le : Thursday, January 3, 2019 - 3:51:19 PM


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  • HAL Id : inserm-01886089, version 1


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



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