A Subject-Specific Cerebrovascular CFD Modeling Approach Based on a Multimodal Data-Driven Boundary Calibration Framework: A Proof-of-Concept Study
- DOI
- 10.3390/bioengineering13080861
- Published
- 2026-07-25
- Container
- Bioengineering
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13080861,
title = {A Subject-Specific Cerebrovascular CFD Modeling Approach Based on a Multimodal Data-Driven Boundary Calibration Framework: A Proof-of-Concept Study},
author = {Jun Hu and Hongye Li and Xuelian Shen and Yonghao Zhong and Hanxiong Zheng and Yiao Liu and Bin Luo and Jianhang Du},
year = {2026},
journal = {Bioengineering},
doi = {10.3390/bioengineering13080861},
url = {https://doi.org/10.3390/bioengineering13080861}
}RIS
TY - JOUR TI - A Subject-Specific Cerebrovascular CFD Modeling Approach Based on a Multimodal Data-Driven Boundary Calibration Framework: A Proof-of-Concept Study AU - Jun Hu AU - Hongye Li AU - Xuelian Shen AU - Yonghao Zhong AU - Hanxiong Zheng AU - Yiao Liu AU - Bin Luo AU - Jianhang Du PY - 2026 JO - Bioengineering DO - 10.3390/bioengineering13080861 UR - https://doi.org/10.3390/bioengineering13080861 ER -
APA
Hu, J., Li, H., Shen, X., Zhong, Y., Zheng, H., Liu, Y., Luo, B., & Du, J. (2026). A Subject-Specific Cerebrovascular CFD Modeling Approach Based on a Multimodal Data-Driven Boundary Calibration Framework: A Proof-of-Concept Study. Bioengineering. https://doi.org/10.3390/bioengineering13080861
Source records
- crossref · retrieved 2026-09-24T21:39:24.610Z