Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields
Fig 9
Best, median and worst test-set predictions.
Comparisons between ground truth (CFD) and predicted (ML) in the test set (n = 200). Best, median and worst cases for both pressure and velocity-magnitude are shown, ranked using the mean node-to-node error (MNAES). Pressure/velocity gradients are also displayed (black lines = CFD, red = ML).