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Inverse domain uncertainty quantification in hemodynamics: sampling virtual patient cohorts under constraints
We consider the following inverse domain uncertainty quantification problem: given a prescribed value or measurement of a hemodynamic biomarker, characterize the distribution of vascular geometries compatible with it. The problem is formulated as a Bayesian inverse problem in which a high-dimensiona
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