Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.
Jyotirmay SenapatiAbhijit Guha RoySebastian PölsterlDaniel GutmannSergios GatidisChristopher SchlettAnnette PetersFabian BambergChristian WachingerPublished in: MLMI@MICCAI (2020)
Keyphrases
- neural network
- bayesian estimation
- decision theory
- pattern recognition
- dempster shafer
- parameter estimation
- bayesian networks
- image analysis
- genetic algorithm
- bayesian inference
- self organizing maps
- artificial neural networks
- image processing
- back propagation
- fuzzy logic
- medical imaging
- imaging systems
- maximum likelihood
- image registration
- feed forward
- uncertain data
- density estimation
- computer vision
- learning algorithm
- distortion correction