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FAST NONRIGID IMAGE REGISTRATION USING STATISTICAL DEFORMATION MODELS LEARNED FROM RICHLY-ANNOTATED DATA
Nonrigid image registrations require a large number of degrees of freedom (DoFs) to capture intersubject anatomical variations. With such high DoFs and lack of anatomical correspondences, algorithms may not converge to the globally optimal solution. In this work, we propose a fast, two-step nonrigid...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4077025/ https://ncbi.nlm.nih.gov/pubmed/25000401 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2013.6556541 |
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