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Reference segmentations of white matter hyperintensities from a subset of 20 subjects scanned three consecutive years 

Valdés Hernández, Maria del C
This dataset contains structural magnetic resonance imaging (MRI)-derived data from 20 participants enrolled in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) project. These data are probabilistic estimates maps ...
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Archiving and Sharing Functional MRI data 

Pernet, Cyril
This document describes the file structure and metadata requirements followed in the collating of Edinburgh Imaging fMRI results and their preparation for online sharing, as at January 2016.
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Regional brain atlas for assessment of enlarged perivascular spaces 

Valdés Hernández, Maria del C
This dataset contains a reference brain-extracted T1-weighted structural magnetic resonance image, representative of a normal brain from an individual in the first half of the 80th decade of life (70 to 75 years old), and ...
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Regional brain atlas for assessment of white matter hyperintensities 

Jackson, Michael R.; Valdés Hernández, Maria del C
This dataset contains a reference brain-extracted T1-weighted structural magnetic resonance image, representative of a normal brain from an individual in the first half of the 80th decade of life (70 to 75 years old), and ...
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SUPERSEDED - Analysis of 4 Cortical Parcellation Protocols 

Mikhael, Shadia
## This item has been superseded by the one which can be found at https://doi.org/10.7488/ds/1983 . ## Software packages for cortical parcellation generally combine tools which segment the brain into various regions, or ...
 

 

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Date Accessioned
2016 (5)
Data CreatorValdés Hernández, Maria del C (3)Jackson, Michael R. (1)Mikhael, Shadia (1)... View allSubject Classification
Clinical Medicine (5)
... View allSubject Keywordswhite matter hyperintensities (2)ageing (1)basal ganglia (1)... View allFunderUniversity of Edinburgh (4)Row Fogo Charitable Trust (3)Age UK (1)... View allTypedataset (3)image (1)text (1)Spatial CoverageScotland (2)UK (2)UNITED KINGDOM (2)... View all
 

 

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