Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML

Recent years have seen neuroimaging data sets becoming richer, with larger cohorts of participants, a greater variety of acquisition techniques, and increasingly complex analyses. These advances have made data analysis pipelines complicated to set up and run (increasing the risk of human error) and...

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Detalles Bibliográficos
Autores principales: Cusack, Rhodri, Vicente-Grabovetsky, Alejandro, Mitchell, Daniel J., Wild, Conor J., Auer, Tibor, Linke, Annika C., Peelle, Jonathan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295539/
https://www.ncbi.nlm.nih.gov/pubmed/25642185
http://dx.doi.org/10.3389/fninf.2014.00090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295539/
https://www.ncbi.nlm.nih.gov/pubmed/25642185
http://dx.doi.org/10.3389/fninf.2014.00090

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