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Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification
This paper presents a novel approach to modeling the pos terior distribution in image registration that is computationally efficient for large deformation diffeomorphic metric mapping (LDDMM). We develop a Laplace approximation of Bayesian registration models entirely in a bandlimited space that ful...
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| Publicado en: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6533616/ https://ncbi.nlm.nih.gov/pubmed/31134217 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-00928-1_99 |
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