MRI Reconstruction Using Deep Bayesian Inference.
Guanxiong LuoNa ZhaoWenhao JiangPeng CaoPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- high resolution
- probabilistic model
- hyperparameters
- prior information
- magnetic resonance imaging
- magnetic resonance images
- phase unwrapping
- variational inference
- variational bayes
- image reconstruction
- statistical inference
- bayesian model
- medical images
- hidden variables
- particle filter
- gibbs sampler
- positron emission tomography
- hierarchical bayesian
- mr images
- reinforcement learning
- variational approximation
- bayesian models
- expectation propagation
- probabilistic modeling
- prior knowledge