Dataset for HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Pan Du
DOI: 10.5281/zenodo.18302983
Cited by: 0

Abstract

This stores the dataset used in paper "HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing", which includes patient-specific geometries of the main aorta and its major branches such as subclavian artery (RSA), right common carotid artery (RCCA), left subclavian artery (LSA), and left common carotid artery (LCCA).

Fields of Study & Subjects

3D Shape Modeling and Analysis Aortic Disease and Treatment Approaches Advanced Numerical Analysis Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Document type
Dataset