Radiomics and machine learning for characterizing CKD-associated cortical bone texture patterns in HR-pQCT tibia scans: a slice- and patient-level methodological framework.
- DOI
- 10.1093/jbmrpl/ziag123
- Published
- 2026 Oct
- Container
- JBMR plus
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/jbmrpl/ziag123,
title = {Radiomics and machine learning for characterizing CKD-associated cortical bone texture patterns in HR-pQCT tibia scans: a slice- and patient-level methodological framework.},
author = {Lee Y and Wong AKO and Hong S and Dillman D and Lim K and Moe SM and Warden SJ and Ghasem-Zadeh A and Surowiec RK},
year = {2026},
journal = {JBMR plus},
doi = {10.1093/jbmrpl/ziag123},
url = {https://doi.org/10.1093/jbmrpl/ziag123}
}RIS
TY - JOUR TI - Radiomics and machine learning for characterizing CKD-associated cortical bone texture patterns in HR-pQCT tibia scans: a slice- and patient-level methodological framework. AU - Lee Y AU - Wong AKO AU - Hong S AU - Dillman D AU - Lim K AU - Moe SM AU - Warden SJ AU - Ghasem-Zadeh A AU - Surowiec RK PY - 2026 JO - JBMR plus DO - 10.1093/jbmrpl/ziag123 UR - https://doi.org/10.1093/jbmrpl/ziag123 ER -
APA
Y, L., AKO, W., S, H., D, D., K, L., SM, M., SJ, W., A, G., & RK, S. (2026). Radiomics and machine learning for characterizing CKD-associated cortical bone texture patterns in HR-pQCT tibia scans: a slice- and patient-level methodological framework.. JBMR plus. https://doi.org/10.1093/jbmrpl/ziag123
Source records
- pubmed · retrieved 2026-09-26T12:27:56.675Z