Posterior temperature optimized Bayesian models for inverse problems in medical imaging.
Max-Heinrich LavesMalte TölleAlexander SchlaeferSandy EngelhardtPublished in: CoRR (2022)
Keyphrases
- medical imaging
- inverse problems
- bayesian models
- bayesian framework
- image reconstruction
- global optimization
- x ray
- convex optimization
- probabilistic model
- bayesian model
- medical images
- image registration
- image analysis
- bayesian inference
- statistical models
- posterior distribution
- partial differential equations
- optimization methods
- image processing
- optimization problems
- image segmentation
- bayesian classifier
- prior knowledge
- remote sensing
- probability distribution
- early vision
- bayesian methods
- neural network
- computer vision
- super resolution
- gaussian process
- maximum a posteriori
- feature extraction
- hyperparameters
- bayesian networks
- human cognition
- posterior probability