A Bayesian finite-element trained machine learning approach for predicting post-burn contraction.
Ginger EgbertsMarianne SchaaphokFred J. VermolenPaul van ZuijlenPublished in: Neural Comput. Appl. (2022)
Keyphrases
- finite element
- machine learning
- mesh generation
- finite element analysis
- learning algorithm
- soft tissue
- finite element method
- boundary element
- finite difference
- finite element model
- gpu accelerated
- numerical solution
- material properties
- training set
- computer vision
- magnetic resonance images
- support vector machine
- biomechanical model
- shear stress
- real time