Postoperative Gait Characteristics After Arthroscopic Ankle Arthrodesis Using a Deep Learning-Based Markerless Motion Capture System: A Pilot Observational Study
- DOI
- 10.3390/jcm15156034
- Published
- 2026-08-03
- Container
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/jcm15156034,
title = {Postoperative Gait Characteristics After Arthroscopic Ankle Arthrodesis Using a Deep Learning-Based Markerless Motion Capture System: A Pilot Observational Study},
author = {Yoon-Chung Sophie Kim and Cesar de Cesar Netto and Youn-Ho Choi and Jae Hoon Ahn},
year = {2026},
journal = {Journal of Clinical Medicine},
doi = {10.3390/jcm15156034},
url = {https://doi.org/10.3390/jcm15156034}
}RIS
TY - JOUR TI - Postoperative Gait Characteristics After Arthroscopic Ankle Arthrodesis Using a Deep Learning-Based Markerless Motion Capture System: A Pilot Observational Study AU - Yoon-Chung Sophie Kim AU - Cesar de Cesar Netto AU - Youn-Ho Choi AU - Jae Hoon Ahn PY - 2026 JO - Journal of Clinical Medicine DO - 10.3390/jcm15156034 UR - https://doi.org/10.3390/jcm15156034 ER -
APA
Kim, Y. S., Netto, C. D. C., Choi, Y., & Ahn, J. H. (2026). Postoperative Gait Characteristics After Arthroscopic Ankle Arthrodesis Using a Deep Learning-Based Markerless Motion Capture System: A Pilot Observational Study. Journal of Clinical Medicine. https://doi.org/10.3390/jcm15156034
Source records
- crossref · retrieved 2026-09-25T16:58:00.676Z