Hyperelastic Cardiovascular NN–FE: A Framework for Integrating Nonlinear Finite Element Solvers with Neural Networks for the Hyperelastic Modeling of Cardiac Valve Tissue
Accurately predicting tissue mechanics of cardiac valves is crucial for computational biomechanics and surgical planning. Conventional finite elements (FEs) entail high computational costs when modeling real-world applications, whereas purely data-driven approaches lack physical consistency and interpretability. We pre...