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

4 citations · 8 across the 4 of their papers we have counts for

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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…