Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. (arXiv:2109.04797v3 [cs.LG] UPDATED)

Computational fluid dynamics (CFD) is a valuable tool for personalised,
non-invasive evaluation of hemodynamics in arteries, but its complexity and
time-consuming nature prohibit large-scale use in practice. Recently, the use
of deep learning for rapid estimation of CFD parameters like wall shear stress
(WSS) on surface meshes has been investigated. However, existing approaches
typically depend on a hand-crafted re-parametrisation of the surface mesh to
match convolutional neural network architectures. In this work, we propose to
instead use mesh convolutional neural …

3d arxiv convolutional neural networks networks neural networks stress