Empirical Bayesian Mixture Models for Medical Image Translation.
Mikael BrudforsJohn AshburnerParashkev NachevYaël BalbastrePublished in: SASHIMI@MICCAI (2019)
Keyphrases
- mixture model
- medical images
- maximum likelihood
- dirichlet prior
- gaussian mixture model
- em algorithm
- density estimation
- generative model
- medical imaging
- medical diagnosis
- probabilistic model
- model selection
- magnetic resonance images
- bayesian networks
- language model
- mixture modeling
- medical image registration
- brain images
- medical image retrieval
- machine learning
- automatic model selection
- expectation maximization
- probability density function
- posterior distribution
- information theoretic
- bayesian inference
- reinforcement learning
- generalized em algorithm
- image classification
- learning algorithm
- data mining