An Optimized PatchMatch for multi-scale and multi-feature label fusion-Reference-Cited by-同舟云学术

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An Optimized PatchMatch for multi-scale and multi-feature label fusion

Published:2016-01 Issue: Volume:124 Page:770-782
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Giraud Rémi,Ta Vinh-Thong,Papadakis Nicolas,Manjón José V.,Collins D. Louis,Coupé Pierrick

Funder

French National Research Agency (ANR)

National Institutes of Health

Ministerio de Economia y competitividad

NIH

Dana Foundation

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference49 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. A reproducible evaluation of ANTs similarity metric performance in brain image registration;Avants;NeuroImage,2011

4. An evaluation of four automatic methods of segmenting the subcortical structures in the brain;Babalola;NeuroImage,2009

5. Multi-atlas segmentation with augmented features for cardiac MR images;Bai;Med. Image Anal.,2015

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