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Statistical Shape Analysis of Large Datasets Based on Diffeomorphic Iterative Centroids
In this paper, we propose an approach for template-based shape analysis of large datasets, using diffeomorphic centroids as atlas shapes. Diffeomorphic centroid methods fit in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework and use kernel metrics on currents to quantify surface...
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| 出版年: | Front Neurosci |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6241313/ https://ncbi.nlm.nih.gov/pubmed/30483045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00803 |
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