Published May 3, 2021
| Version for-peer-review-1
Dataset
Open
Data and codes for 'A Bayesian Approach to Blood Rheological Uncertainties in Aortic Hemodynamics'
Creators
- 1. Graz University of Technology
- 2. Medical University of Vienna
Description
This submission is supplementary material in the form of data and codes used in and for the manuscript 'A Bayesian Approach to Blood Rheological Uncertainties in Aortic Hemodynamics' submitted to the International Journal of Numerical Methods in Biomedical Engineering (currently under review).
Files
manuscript_preprint.pdf
Files
(101.2 MB)
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Additional details
References
- Ranftl, Sascha, and Wolfgang von der Linden. "Bayesian Surrogate Analysis and Uncertainty Propagation with Explicit Surrogate Uncertainties and Implicit Spatio-temporal Correlations." arXiv preprint arXiv:2101.04038 (2021).