Project
AA-Health-3
Randomization of Surrogate Models for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models
Project Heads
Alfonso Caiazzo, Ana Djurdjevac, Francesco Romor
Project Members
Jose Rodrigo Rojo García
Project Duration
01.07.2025 − 30.06.2027
Located at
WIAS
Description
This project focuses on developing and analyzing randomization techniques for the efficient propagation of domain and model-form uncertainties. In particular, it aims to enhance the explainability of machine learning surrogate models in cardiovascular applications, with a specific focus on anatomical shapes.
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