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