3D whole brain segmentation using spatially localized atlas network tiles

Author:

Huo Yuankai,Xu Zhoubing,Xiong Yunxi,Aboud Katherine,Parvathaneni Prasanna,Bao Shunxing,Bermudez Camilo,Resnick Susan M.,Cutting Laurie E.,Landman Bennett A.

Funder

NSF CAREER

NIH

Intramural Research Program, National Institute on Aging, NIH

National Institutes of Health in part by the National Institute of Biomedical Imaging and Bioengineering training

ViSE/VICTR VR3029 and the National Center for Research Resources

National Center for Advancing Translational Sciences

NIH S10 Shared Instrumentation

National Institute of Child Health and Human Development

National Institute on Drug Abuse

National Institute of Mental Health

National Institute of Neurological Disorders and Stroke

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference67 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. Statistical label fusion with hierarchical performance models;Asman;Proc. Soc. Photo Opt. Instrum. Eng.,2014

4. Multi-atlas learner fusion: an efficient segmentation approach for large-scale data;Asman;Med. Image Anal.,2015

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

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