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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Asıl Yazarlar: Brian Caffo, Jian Kang, Han Liu
Materyal Türü: Online
Dil:İngilizce
Baskı/Yayın Bilgisi: Frontiers Media SA 2021
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Online Erişim:22979
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author Brian Caffo
Jian Kang
Han Liu
author_browse Brian Caffo
Han Liu
Jian Kang
author_facet Brian Caffo
Jian Kang
Han Liu
author_sort Brian Caffo
collection Directory of Open Access Books
description 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.
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spelling doab-20.500.12854ir-577142024-04-05T12:35:31Z Recent Advances and Challenges on Big Data Analysis in Neuroimaging Brian Caffo Jian Kang Han Liu RC321-571 Q1-390 fMRI Neuroscience functional connectivity EEG Classification prediction big data MEG thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences 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. 2021-02-12T00:58:07Z 2021-02-12T00:58:07Z 2017-07-06 13:27:36 2017 book 22979 16648714 9782889451289 https://directory.doabooks.org/handle/20.500.12854/57714 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Recent_Advances_and_Challenges_on_Big_Data_Analysis_in_Neuroimaging/1203 http://journal.frontiersin.org/researchtopic/2860/recent-advances-and-challenges-on-big-data-analysis-in-neuroimaging Frontiers Media SA 10.3389/978-2-88945-128-9 10.3389/978-2-88945-128-9 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889451289 195 open access
spellingShingle RC321-571
Q1-390
fMRI
Neuroscience
functional connectivity
EEG
Classification
prediction
big data
MEG
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
Brian Caffo
Jian Kang
Han Liu
Recent Advances and Challenges on Big Data Analysis in Neuroimaging
title Recent Advances and Challenges on Big Data Analysis in Neuroimaging
title_full Recent Advances and Challenges on Big Data Analysis in Neuroimaging
title_fullStr Recent Advances and Challenges on Big Data Analysis in Neuroimaging
title_full_unstemmed Recent Advances and Challenges on Big Data Analysis in Neuroimaging
title_short Recent Advances and Challenges on Big Data Analysis in Neuroimaging
title_sort recent advances and challenges on big data analysis in neuroimaging
topic RC321-571
Q1-390
fMRI
Neuroscience
functional connectivity
EEG
Classification
prediction
big data
MEG
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
topic_facet RC321-571
Q1-390
fMRI
Neuroscience
functional connectivity
EEG
Classification
prediction
big data
MEG
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
url 22979
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