ロード中...
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...
保存先:
| 出版年: | Med Image Comput Comput Assist Interv |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
|
| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|