Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors.
Savvas MelidonisMatthew HoldenYoann AltmannMarcelo PereyraKonstantinos C. ZygalakisPublished in: IEEE Signal Process. Lett. (2024)
Keyphrases
- data driven
- generative model
- prior probabilities
- prior distribution
- image analysis
- bayesian approaches
- bayesian framework
- image processing
- forward and backward
- real life
- high resolution
- bayesian models
- real world
- unsupervised learning
- bayesian learning
- imaging systems
- posterior distribution
- small scale
- synthetic aperture
- bayesian estimation
- bayesian methods
- neural network
- prior information
- maximum a posteriori
- information theoretic
- medical imaging
- bayesian networks
- computer vision
- machine learning
- decision theory
- theoretical analysis
- maximum likelihood
- pairwise
- clinical applications
- image prior
- positron emission tomography
- data sets
- atomic force microscopy