(Hyper)-graphical models in biomedical image analysis.
Nikos ParagiosEnzo FerranteBen GlockerNikos KomodakisSarah ParisotEvangelia I. ZacharakiPublished in: Medical Image Anal. (2016)
Keyphrases
- graphical models
- biomedical image analysis
- mathematical methods
- belief propagation
- probabilistic model
- image analysis
- random variables
- computer vision
- probabilistic inference
- approximate inference
- probabilistic graphical models
- structure learning
- problems in computer vision
- conditional independence
- markov networks
- conditional random fields
- exact inference
- belief networks
- bayesian networks
- statistical inference
- loopy belief propagation
- map inference
- graph structure
- factor graphs
- image processing
- structured data
- machine learning
- image matching
- statistical relational learning
- statistical model
- generative model
- image sequences
- topic models
- gaussian graphical models