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Totals for datasets (co-)authored by Ginger Egberts
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Ginger Egberts
Datasets
- Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
- Code supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction
- Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
- Code supporting the paper: Stability 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
- Code supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
- Code supporting the paper: DeepONet models for predicting post-burn contraction
- Data supporting the paper: Stability of a one-dimensional morphoelastic model for post-burn contraction
- Data supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
- Data supporting the paper: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction
- Data supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction
