Uncertainty quantification of acceleration-induced 4D Flow MRI variability propagation into image-based computational aortic hemodynamics
- DOI
- 10.1016/j.compbiomed.2026.111881
- Published
- 2026-09
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.111881,
title = {Uncertainty quantification of acceleration-induced 4D Flow MRI variability propagation into image-based computational aortic hemodynamics},
author = {Tianai Wang and Levi Juhl and Theresa Degreif and Shuo Zhang and Teresa Lemainque and Michael Neidlin},
year = {2026},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2026.111881},
url = {https://doi.org/10.1016/j.compbiomed.2026.111881}
}RIS
TY - JOUR TI - Uncertainty quantification of acceleration-induced 4D Flow MRI variability propagation into image-based computational aortic hemodynamics AU - Tianai Wang AU - Levi Juhl AU - Theresa Degreif AU - Shuo Zhang AU - Teresa Lemainque AU - Michael Neidlin PY - 2026 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2026.111881 UR - https://doi.org/10.1016/j.compbiomed.2026.111881 ER -
APA
Wang, T., Juhl, L., Degreif, T., Zhang, S., Lemainque, T., & Neidlin, M. (2026). Uncertainty quantification of acceleration-induced 4D Flow MRI variability propagation into image-based computational aortic hemodynamics. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2026.111881
Source records
- crossref · retrieved 2026-09-26T21:04:10.178Z