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Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data.
Qingping Zhou
Tengchao Yu
Xiaoqun Zhang
Jinglai Li
Published in:
SIAM J. Imaging Sci. (2020)
Keyphrases
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image reconstruction
bayesian inference
data sets
sparsely sampled
image data
compressed sensing
probability distribution
prior knowledge
dynamic programming
computational complexity
closed form
reinforcement learning
reconstructed image
reconstruction method
high quality
inverse problems
training data