An improved algorithm of white matter hyperintensity detection in elderly adults-Reference-Cited by-同舟云学术

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An improved algorithm of white matter hyperintensity detection in elderly adults

Published:2020 Issue: Volume:25 Page:102151
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Ding T,Cohen AD^ORCID,O’Connor EE^ORCID,Karim HT^ORCID,Crainiceanu A,Muschelli J,Lopez O,Klunk WE,Aizenstein HJ,Krafty R,Crainiceanu CM,Tudorascu DL

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference35 articles.

1. Fully automatic segmentation of white matter hyperintensities in mr images of the elderly;Admiraal-Behloul;Neuroimage,2005

2. Probabilistic segmentation of white matter lesions in mr imaging;Anbeek;NeuroImage,2004

3. Wml detection of brain images using fuzzy and possibilistic approach in feature space;Anitha;WSEAS Transactions on computers,2012

4. ANTsR: ANTs in R: Quantification Tools for Biomedical Images;Avants,2019

5. Automatic detection of white matter hyperintensities in healthy aging and pathology using magnetic resonance imaging: a review;Caligiuri;Neuroinformatics,2015

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5. Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation;Lecture Notes in Computer Science;2024

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