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Found 2 papers, 2 papers with code
WarpPINN: Cine-MR image registration with physics-informed neural networks
In this work, we introduce WarpPINN, a physics-informed neural network to perform image registration to obtain local metrics of the heart deformation.
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models
In an application to cardiac electrophysiology, the multi-fidelity classifier achieves an F1 score, the harmonic mean of precision and recall, of 99. 6% compared to 74. 1% of a single-fidelity classifier when both are trained with 50 samples.
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