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5 software items. Page 1 of 1. 12 items per page. 1 filters active.
1-5 of 5

Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

  • Feed-forward neural network
  • Machine learning
  • MATLAB
  • + 5
3
8

Code supporting the paper: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction

Code supporting the paper: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction

  • Burns
  • Feasibility
  • MATLAB
  • + 4
3
7

Code supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction

Code supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction

  • burn
  • cell proliferation
  • MATLAB
  • + 4
4
5

Code supporting the paper: Stability of a one-dimensional morphoelastic model for post-burn contraction

Code supporting the paper: Stability of a one-dimensional morphoelastic model for post-burn contraction

  • Burns
  • MATLAB
  • Morphoelasticity
  • + 3
3
5

Code supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction

Code supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction

  • Burns
  • MATLAB
  • Morphoelasticity
  • + 3
3
3