HUG-VAS: A hierarchical NURBS-based generative model for aortic geometry synthesis and controllable editing
- DOI
- 10.1016/j.cma.2026.119309
- Published
- 2026-12
- Container
- Computer Methods in Applied Mechanics and Engineering
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cma.2026.119309,
title = {HUG-VAS: A hierarchical NURBS-based generative model for aortic geometry synthesis and controllable editing},
author = {Pan Du and Mingqi Xu and Xiaozhi Zhu and Jian-Xun Wang},
year = {2026},
journal = {Computer Methods in Applied Mechanics and Engineering},
doi = {10.1016/j.cma.2026.119309},
url = {https://doi.org/10.1016/j.cma.2026.119309}
}RIS
TY - JOUR TI - HUG-VAS: A hierarchical NURBS-based generative model for aortic geometry synthesis and controllable editing AU - Pan Du AU - Mingqi Xu AU - Xiaozhi Zhu AU - Jian-Xun Wang PY - 2026 JO - Computer Methods in Applied Mechanics and Engineering DO - 10.1016/j.cma.2026.119309 UR - https://doi.org/10.1016/j.cma.2026.119309 ER -
APA
Du, P., Xu, M., Zhu, X., & Wang, J. (2026). HUG-VAS: A hierarchical NURBS-based generative model for aortic geometry synthesis and controllable editing. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.1016/j.cma.2026.119309
Source records
- crossref · retrieved 2026-09-25T13:47:38.125Z