Pearl Causal Hierarchy on Image Data: Intricacies & Challenges.
Matej ZecevicMoritz WilligDevendra Singh DhamiKristian KerstingPublished in: CoRR (2022)
Keyphrases
- image data
- causal models
- causal relationships
- lessons learned
- magnetic resonance
- mr images
- image quality
- open issues
- hierarchical structure
- key issues
- lower level
- causal bayesian networks
- causal reasoning
- application scenarios
- technical challenges
- causal relations
- causal discovery
- database
- conditional independence
- design principles
- range data
- raw data
- multispectral
- input data
- image database
- real time