MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection-Reference-Cited by-同舟云学术

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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection

Published:2016-02 Issue: Volume:127 Page:186-195
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Doshi Jimit,Erus Guray,Ou Yangming,Resnick Susan M.,Gur Ruben C.,Gur Raquel E.,Satterthwaite Theodore D.,Furth Susan,Davatzikos Christos

Funder

Intramural Research Program, National Institute on Aging, NIH

National Institutes of Health

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference52 articles.

1. Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy;Aljabar;NeuroImage,2009

2. Combination strategies in multi-atlas image segmentation: application to brain MR data;Artaechevarria;IEEE Trans. Med. Imaging,2009

3. Non-local statistical label fusion for multi-atlas segmentation;Asman;Med. Image Anal.,2013

4. A new improved version of the realistic digital brain phantom;Aubert-Broche;NeuroImage,2006

5. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain;Avants;Med. Image Anal.,2008

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