Big Data Approaches for the Analysis of Large-Scale fMRI Data Using Apache Spark and GPU Processing: A Demonstration on Resting-State fMRI Data from the Human Connectome Project

Technologies for scalable analysis of very large datasets have emerged in the domain of internet computing, but are still rarely used in neuroimaging despite the existence of data and research questions in need of efficient computation tools especially in fMRI. In this work, we present software tool...

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Hlavní autoři: Roland N. Boubela, Klaudius Kalcher, Wolfgang Huf, Christian Našel, Ewald Moser
Médium: Artigo
Jazyk:angličtina
Vydáno: 2016
On-line přístup:https://doi.org/10.3389/fnins.2015.00492
https://www.frontiersin.org/articles/10.3389/fnins.2015.00492/pdf
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