Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
Dominik NarnhoferAlexander EfflandErich KoblerKerstin HammernikFlorian KnollThomas PockPublished in: IEEE Trans. Medical Imaging (2022)
Keyphrases
- phase unwrapping
- high resolution
- decision theory
- magnetic resonance imaging
- bayesian estimation
- image segmentation
- medical images
- myocardial motion
- mr images
- bayesian learning
- error analysis
- positron emission tomography
- parameter estimation
- optical flow
- markov random field prior
- three dimensional
- dempster shafer
- maximum a posteriori probability
- posterior distribution
- magnetic resonance images
- image reconstruction
- bayesian networks
- computer vision
- compressed sensing
- mri images
- automatic segmentation
- computer tomography
- discrete tomography
- least squares
- image processing