A PINN-based method recovers active contractility parameters and detects fibrotic scars in simulated cardiac tissue from sparse displacement and strain data, with a few percent error in homogeneous tests.
Estimating cardiac contraction through high resolution data assim- ilation of a personalized mechanical model
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Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
A PINN-based method recovers active contractility parameters and detects fibrotic scars in simulated cardiac tissue from sparse displacement and strain data, with a few percent error in homogeneous tests.