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Post-burn contraction
Found results (10):
Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
Posted on 2023-01-31T08:02:12
Code supporting the paper: Stability of a one-dimensional morphoelastic model for post-burn contraction
Posted on 2023-01-30T15:18:36
Data supporting the paper: Stability of a one-dimensional morphoelastic model for post-burn contraction
Posted on 2023-01-30T15:19:17
Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
Posted on 2023-01-30T15:21:41
Data supporting the paper: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction
Posted on 2023-01-30T15:20:01
Code supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
Posted on 2023-01-30T15:16:33
Data supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
Posted on 2023-01-30T15:17:08
Code supporting the paper: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction
Posted on 2023-01-30T15:20:30
Data supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction
Posted on 2023-03-30T10:27:24
Code supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction
Posted on 2023-03-30T10:27:07