Quaternion-based recurrent neural networks and machine learning for 3D modeling of superficial femoral artery dynamics: a theoretical framework for enhanced treatment outcomes.
- DOI
- 10.3389/fsurg.2026.1896488
- Published
- 2026
- Container
- Frontiers in surgery
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fsurg.2026.1896488,
title = {Quaternion-based recurrent neural networks and machine learning for 3D modeling of superficial femoral artery dynamics: a theoretical framework for enhanced treatment outcomes.},
author = {Patelis ND and Georgiadi EP and Arefai B},
year = {2026},
journal = {Frontiers in surgery},
doi = {10.3389/fsurg.2026.1896488},
url = {https://doi.org/10.3389/fsurg.2026.1896488}
}RIS
TY - JOUR TI - Quaternion-based recurrent neural networks and machine learning for 3D modeling of superficial femoral artery dynamics: a theoretical framework for enhanced treatment outcomes. AU - Patelis ND AU - Georgiadi EP AU - Arefai B PY - 2026 JO - Frontiers in surgery DO - 10.3389/fsurg.2026.1896488 UR - https://doi.org/10.3389/fsurg.2026.1896488 ER -
APA
ND, P., EP, G., & B, A. (2026). Quaternion-based recurrent neural networks and machine learning for 3D modeling of superficial femoral artery dynamics: a theoretical framework for enhanced treatment outcomes.. Frontiers in surgery. https://doi.org/10.3389/fsurg.2026.1896488
Source records
- pubmed · retrieved 2026-09-25T23:51:51.267Z