Population-scale modeling of the natural knee: automated segmentation, finite element simulation, and machine learning prediction of time-series joint mechanics.
- DOI
- 10.1080/10255842.2026.2724359
- Published
- 2026 Sep 3
- Container
- Computer methods in biomechanics and biomedical engineering
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1080/10255842.2026.2724359,
title = {Population-scale modeling of the natural knee: automated segmentation, finite element simulation, and machine learning prediction of time-series joint mechanics.},
author = {Gibbons KD and Malbouby V and Cooper EJ and Ivy AK and Fitzpatrick CK},
year = {2026},
journal = {Computer methods in biomechanics and biomedical engineering},
doi = {10.1080/10255842.2026.2724359},
url = {https://doi.org/10.1080/10255842.2026.2724359}
}RIS
TY - JOUR TI - Population-scale modeling of the natural knee: automated segmentation, finite element simulation, and machine learning prediction of time-series joint mechanics. AU - Gibbons KD AU - Malbouby V AU - Cooper EJ AU - Ivy AK AU - Fitzpatrick CK PY - 2026 JO - Computer methods in biomechanics and biomedical engineering DO - 10.1080/10255842.2026.2724359 UR - https://doi.org/10.1080/10255842.2026.2724359 ER -
APA
KD, G., V, M., EJ, C., AK, I., & CK, F. (2026). Population-scale modeling of the natural knee: automated segmentation, finite element simulation, and machine learning prediction of time-series joint mechanics.. Computer methods in biomechanics and biomedical engineering. https://doi.org/10.1080/10255842.2026.2724359
Source records
- pubmed · retrieved 2026-09-26T01:52:44.357Z
- europe-pmc · retrieved 2026-09-26T01:52:44.365Z