Recent Advances and Challenges on Big Data Analysis in Neuroimaging

Big data is revolutionizing our ability to measure and study the human brain. New technology increases the resolution of images that are being study as well as enables researchers to study the brain as it functions. These technological advances are combined with efforts to collect neuroimaging data...

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Detalles Bibliográficos
Otros Autores: Brian Caffo (auth), Jian Kang, Han Liu
Formato: Libro electrónico
Idioma:Inglés
Publicado: Frontiers Media SA 2017
Colección:Frontiers Research Topics
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009432657606719
Descripción
Sumario:Big data is revolutionizing our ability to measure and study the human brain. New technology increases the resolution of images that are being study as well as enables researchers to study the brain as it functions. These technological advances are combined with efforts to collect neuroimaging data on large numbers of subjects, in some cases longitudinally. This combination of advances in measurement and scope of studies requires novel development in the statistical analysis. Fast, scalable, robust and accurate models and approaches need to be developed to make headway on these problems. This volume represents a unique collection of researchers providing deep insights on the statistical analysis of big neuroimaging data.
Descripción Física:1 electronic resource (195 p.)