Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling-Reference-Cited by-同舟云学术

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Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling

Published:2016-12 Issue: Volume:143 Page:235-249
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Puonti Oula,Iglesias Juan Eugenio,Van Leemput Koen

Funder

NIH NCRR

NIBIB

Lundbeck foundation

Technical University of Denmark

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference76 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. Image registration using a symmetric prior-in three dimensions;Ashburner;Hum. Brain Mapp.,2000

4. Multimodal image coregistration and partitioning – a unified framework;Ashburner;NeuroImage,1997

5. Unified segmentation;Ashburner;NeuroImage,2005

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