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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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| Veröffentlicht in: | Magn Reson Imaging |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | 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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