Multiple Testing for Neuroimaging via Hidden Markov Random Field

Traditional voxel-level multiple testing procedures in neuroimaging, mostly \(p\)-value based, often ignore the spatial correlations among neighboring voxels and thus suffer from substantial loss of power. We extend the local-significance-index based procedure originally developed for the hidden Mar...

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Vydané v:	arXiv.org
Hlavní autori:	Shu, Hai, Bin Nan, Koeppe, Robert
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 28.07.2016
Predmet:	Algorithms Alzheimer's disease Computer simulation Disease control Fields (mathematics) Markov analysis Markov chains Maximization Medical imaging Neurology Optimization Parameter estimation Positron emission Test procedures Three dimensional models Tomography
ISSN:	2331-8422
On-line prístup:	Získať plný text
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