A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging.
Malte TölleMax-Heinrich LavesAlexander SchlaeferPublished in: MIDL (2021)
Keyphrases
- medical imaging
- inverse problems
- posterior distribution
- maximum a posteriori
- image reconstruction
- bayesian inference
- variational methods
- medical images
- markov random field
- global optimization
- hyperparameters
- convex optimization
- image segmentation
- bayesian framework
- image analysis
- image registration
- image processing
- computer vision
- partial differential equations
- remote sensing
- image restoration
- super resolution
- closed form
- level set
- latent variables
- markov networks
- em algorithm
- maximum likelihood
- graph cuts
- probability distribution
- deformable models
- conditional random fields
- energy function
- least squares
- probabilistic model
- high resolution
- moving objects
- topic models