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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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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2016
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| Témata: | |
| On-line přístup: | 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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