HeartUnloadNet maps end-diastolic left-ventricular meshes to unloaded geometries in milliseconds on synthetic finite element data, but the reported DSC and sample-efficiency numbers are internally inconsistent.
Emulation of cardiac mechanics using graph neural networks
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HeartUnloadNet: A Weakly-Supervised Cycle-Consistent Graph Network for Predicting Unloaded Cardiac Geometry from Diastolic States
HeartUnloadNet maps end-diastolic left-ventricular meshes to unloaded geometries in milliseconds on synthetic finite element data, but the reported DSC and sample-efficiency numbers are internally inconsistent.