Deep vectorised operators

This repository contains the official implementation of Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior (arXiv).

Installation

Please follow these instructions to set up a working PyTorch Geometric / xFormers environment. Next, install PointNet++ via

pip install git+https://github.com/sukjulian/pytorch-dvf.git

as well as some utility packages

pip install meshio prettytable trimesh[easy] potpourri3d h5py

and you should be good to go.

Citation

If you found deep vectorised operators useful, please cite:

@article{DeepVectorisedOperators,
title = {Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior},
journal = {Computer Methods and Programs in Biomedicine},
volume = {271},
pages = {108958},
year = {2025},
issn = {0169-2607},
doi = {https://doi.org/10.1016/j.cmpb.2025.108958},
url = {https://www.sciencedirect.com/science/article/pii/S016926072500375X},
author = {Julian Suk and Guido Nannini and Patryk Rygiel and Christoph Brune and Gianluca Pontone and Alberto Redaelli and Jelmer M. Wolterink}
}