output
20232026
most citedEfficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics

8 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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stat.AP2025★ 4 cited

Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes

Amirreza Kachabi, Sofia Altieri Correa, Naomi C. Chesler +1

Subject-specific modeling is a powerful tool in cardiovascular research, providing insights beyond the reach of current clinical diagnostics. Limitations in available clinical data…