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Inference, emulation and uncertainty quantification in cardiac mechanics

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FHTW02 - Fickle Heart: The intersection of UQ, AI and Digital Twins

In my talk I will give a brief overview of several approaches to parameter inference and uncertainty quantification in cardiac mechanics of the passive filling process of the left ventricle in diastole, based on magnetic resonance image data, using different emulation schemes. This is join work with Hao Gao, David Dalton, Alan Lazarus, Arash Rabbani and Yuzhang Ge.

This talk is part of the Isaac Newton Institute Seminar Series series.

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