A Joint Geometric Topological Analysis Network (JGTA-Net) for Detecting and Segmenting Intracranial Aneurysms
The proposed work can be integrated into a large deep-learning-based system for assessing brain aneurysms in the clinical workflow.
Authors
- Jingfeng Jiang (ORCID: https://orcid.org/0000-0001-8812-6246)
- Zonghan Lyu
- Bo Peng (ORCID: https://orcid.org/0000-0001-8133-3883)
- Xinyue Zhang (ORCID: https://orcid.org/0000-0001-8919-1664)
- Yang Wang (ORCID: https://orcid.org/0000-0003-4383-741X)
Institutions
- Michigan Technological University (US)
- Southwest Petroleum University (CN)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/tbme.2025.3572837
- Citations
- 1
- Primary Topic
- Topological and Geometric Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.50