IMC-PINN-FE estimates left-ventricular stiffness and active tension from images, then runs a physics-constrained neural FE simulation of the cardiac cycle about 75x faster than standard FE while matching imaged volumes.
Reduced-order modeling of blood flow for noninvasive functional evaluation of coronary artery disease
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IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation
IMC-PINN-FE estimates left-ventricular stiffness and active tension from images, then runs a physics-constrained neural FE simulation of the cardiac cycle about 75x faster than standard FE while matching imaged volumes.