Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion-Reference-Cited by-同舟云学术

Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion

Published:2016-07-19 Issue: Volume:10 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Bhagwat Nikhil,Pipitone Jon,Winterburn Julie L.,Guo Ting,Duerden Emma G.,Voineskos Aristotle N.,Lepage Martin,Miller Steven P.,Pruessner Jens C.,Chakravarty M. Mallar

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference64 articles.

1. Clinical core of the Alzheimers Disease neuroimaging initiative: progress and plans.;Aisen;Alzheimers Dement. 6,2010

2. Estimation of the prior distribution of ground truth in the STAPLE algorithm: an empirical bayesian approach;Akhondi-Asl;Med. Image Comput. Comput. Assist. Interv,2012

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

4. Automatic calculation of hippocampal atrophy rates using a hippocampal template and the boundary shift integral;Barnes;Neurobiol. Aging,2007

5. Statistical methods for assessing agreement between two methods of clinical measurement;Bland;Lancet,1986

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