Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

no code implementations • 8 Jun 2023 • Matteo Salvador, Marina Strocchi, Francesco Regazzoni, Luca Dede', Steven Niederer, Alfio Quarteroni

The trained LNODEs provides a compact and efficient representation of the 3D-0D model in a latent space by means of a feedforward fully-connected Artificial Neural Network that retains 3 hidden layers with 13 neurons per layer and allows for 300x real-time numerical simulations of the cardiac function on a single processor of a standard laptop.

Uncertainty Quantification