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eHUGS: Enhanced Hierarchical Unbiased Graph Shrinkage for Efficient Groupwise Registration

Effective and efficient spatial normalization of a large population of brain images is critical for many clinical and research studies, but it is technically very challenging. A commonly used approach is to choose a certain image as the template and then align all other images in the population to t...

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Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Wu, Guorong, Peng, Xuewei, Ying, Shihui, Wang, Qian, Yap, Pew-Thian, Shen, Dan, Shen, Dinggang
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2016
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4723358/
https://ncbi.nlm.nih.gov/pubmed/26800361
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0146870
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