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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Detalles Bibliográficos
Autores principales: Wu, Guorong, Peng, Xuewei, Ying, Shihui, Wang, Qian, Yap, Pew-Thian, Shen, Dan, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4723358/
https://www.ncbi.nlm.nih.gov/pubmed/26800361
http://dx.doi.org/10.1371/journal.pone.0146870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4723358/
https://www.ncbi.nlm.nih.gov/pubmed/26800361
http://dx.doi.org/10.1371/journal.pone.0146870

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