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Data and codes for 'A Bayesian Approach to Blood Rheological Uncertainties in Aortic Hemodynamics'

Authors: Ranftl, Sascha; Müller, Thomas Stephan; Windberger, Ursula; von der Linden, Wolfgang; Brenn, Günter;

Data and codes for 'A Bayesian Approach to Blood Rheological Uncertainties in Aortic Hemodynamics'

Abstract

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).

{"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)."]}

Keywords

blood rheology, uncertainty quantification, bayesian probability theory, bayes, bayesian uncertainty quantification, aortic hemodynamics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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34