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Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models
The development of biophysical models for clinical applications is rapidly advancing in the research community, thanks to their predictive nature and their ability to assist the interpretation of clinical data.
Shape of my heart: Cardiac models through learned signed distance functions
The efficient construction of an anatomical model is one of the major challenges of patient-specific in-silico models of the human heart.
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
The eikonal equation has become an indispensable tool for modeling cardiac electrical activation accurately and efficiently.
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