Posterior temperature optimized Bayesian models for inverse problems in medical imaging.
Max-Heinrich LavesMalte TölleAlexander SchlaeferSandy EngelhardtPublished in: Medical Image Anal. (2022)
Keyphrases
- medical imaging
- inverse problems
- bayesian models
- bayesian framework
- image reconstruction
- medical images
- global optimization
- bayesian model
- convex optimization
- probabilistic model
- x ray
- image registration
- posterior distribution
- optimization problems
- image segmentation
- optimization methods
- bayesian inference
- image analysis
- image processing
- early vision
- partial differential equations
- statistical models
- posterior probability
- remote sensing
- bayesian methods
- probability distribution
- prior knowledge
- maximum a posteriori
- bayesian classifier
- hyperparameters
- gaussian process
- machine learning
- smoothness constraint
- computer vision
- prior information
- parameter estimation
- generative model
- model selection
- graph cuts
- pairwise
- three dimensional