Peer-reviewedCC BY-NC-NDOsteoporosis and sarcopenia
Deep learning–based quantification of muscle volume and attenuation and their associations with preinjury ambulatory status in patients with hip fractures
4 affiliations
- 1Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
- 2Department of Orthopaedic Medical Engineering, Osaka University Graduate School of Medicine, Osaka, Japan
- 3Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan
- 4Department of Orthopaedic Surgery, Ehime University Graduate School of Medicine, Ehime, Japan
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BibTeX
@article{asano2026deep,
title = {{Deep learning–based quantification of muscle volume and attenuation and their associations with preinjury ambulatory status in patients with hip fractures}},
author = {Tomoki Asano and Keisuke Uemura and Sotaro Kono and Ryo Higuchi and Yi Gu and Hirokazu Mae and Tetsuro Tani and Kazuma Takashima and Tatsuhiko Kutsuna and Yoshito Otake and Masaki Takao and Seiji Okada and Hidetoshi Hamada},
journal = {Osteoporosis and sarcopenia},
year = {2026},
month = may,
url = {https://europepmc.org/article/PMC/PMC13662876},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Deep learning–based quantification of muscle volume and attenuation and their associations with preinjury ambulatory status in patients with hip fractures
AU - Tomoki Asano
AU - Keisuke Uemura
AU - Sotaro Kono
AU - Ryo Higuchi
AU - Yi Gu
AU - Hirokazu Mae
AU - Tetsuro Tani
AU - Kazuma Takashima
AU - Tatsuhiko Kutsuna
AU - Yoshito Otake
AU - Masaki Takao
AU - Seiji Okada
AU - Hidetoshi Hamada
PY - 2026
DA - 2026/05/29
JO - Osteoporosis and sarcopenia
UR - https://europepmc.org/article/PMC/PMC13662876
SN - 2405-5255
SN - 2405-5263
ER -