SE3 Equivariant Hemodynamic Field Estimation in 3D Artery Models via Graph Neural Networks

Explore a cutting-edge approach to hemodynamic field estimation in 3D artery models through a 20-minute conference talk at GSI. Delve into the application of SE3 equivariant graph neural networks for accurate and efficient blood flow predictions in complex arterial structures. Gain insights into how this innovative technique leverages geometric deep learning to enhance computational fluid dynamics simulations in cardiovascular research and clinical applications.