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Registration Uncertainty Quantification Via Low-dimensional Characterization of Geometric Deformations

This paper presents an efficient approach to quantifying image registration uncertainty based on a low-dimensional representation of geometric deformations. In contrast to previous methods, we develop a Bayesian diffeomorphic registration framework in a bandlimited space, rather than a high-dimensio...

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Vydáno v:Magn Reson Imaging
Hlavní autoři: Wang, Jian, Wells, William M., Golland, Polina, Zhang, Miaomiao
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7069236/
https://ncbi.nlm.nih.gov/pubmed/31181245
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.05.034
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