A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration

Author:

Schultz Sandra,Handels Heinz,Ehrhardt Jan

Publisher

SPIE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimating medical image registration error and confidence: A taxonomy and scoping review;Medical Image Analysis;2022-10

2. The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective;Frontiers in Robotics and AI;2021-08-30

3. Image Registration via Stochastic Gradient Markov Chain Monte Carlo;Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis;2020

4. Bayesian inference for uncertainty quantification in point-based deformable image registration;Medical Imaging 2019: Image Processing;2019-03-15

5. An efficient method with tunable accuracy for estimating expected interruption cost of distribution systems;International Journal of Electrical Power & Energy Systems;2019-02

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