A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy.
Tobias GeimerAdriana BirlutiuMathias UnberathOliver TaubmannChristoph BertAndreas K. MaierPublished in: Bildverarbeitung für die Medizin (2017)
Keyphrases
- regression model
- motion estimation
- kernel regression
- motion compensation
- respiratory motion
- motion compensated
- lung cancer
- condition number
- video coding
- motion vectors
- motion field
- regression analysis
- regression methods
- model selection
- motion model
- regression method
- image sequences
- optical flow
- prediction model
- gaussian process
- generalized linear models
- linear model
- multivariate regression
- kernel methods
- survival analysis
- video sequences
- support vector regression
- explanatory variables
- support vector
- kernel function
- interval valued data
- locally weighted
- linear regression model
- prostate cancer
- independent variables
- gaussian processes
- treatment planning
- logistic regression models
- multiple kernel learning
- response variable
- prediction intervals
- discriminant analysis
- computational complexity
- computer vision