Radiomics-based machine learning to evaluate immunotherapy efficacy in non-small cell lung cancer patients with bone metastases
- DOI
- 10.1117/1.jmi.13.4.044503
- Published
- 2026-07-22
- Container
- Journal of Medical Imaging
- Publisher
- SPIE-Intl Soc Optical Eng
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1117/1.jmi.13.4.044503,
title = {Radiomics-based machine learning to evaluate immunotherapy efficacy in non-small cell lung cancer patients with bone metastases},
author = {Reza Kakavand and Nils D. Forkert and Annalise Abbott and Joseph Kendal and Peter Connell and Hila Yashar and Michael J. Monument and W. Brent Edwards},
year = {2026},
journal = {Journal of Medical Imaging},
doi = {10.1117/1.jmi.13.4.044503},
url = {https://doi.org/10.1117/1.jmi.13.4.044503}
}RIS
TY - JOUR TI - Radiomics-based machine learning to evaluate immunotherapy efficacy in non-small cell lung cancer patients with bone metastases AU - Reza Kakavand AU - Nils D. Forkert AU - Annalise Abbott AU - Joseph Kendal AU - Peter Connell AU - Hila Yashar AU - Michael J. Monument AU - W. Brent Edwards PY - 2026 JO - Journal of Medical Imaging DO - 10.1117/1.jmi.13.4.044503 UR - https://doi.org/10.1117/1.jmi.13.4.044503 ER -
APA
Kakavand, R., Forkert, N. D., Abbott, A., Kendal, J., Connell, P., Yashar, H., Monument, M. J., & Edwards, W. B. (2026). Radiomics-based machine learning to evaluate immunotherapy efficacy in non-small cell lung cancer patients with bone metastases. Journal of Medical Imaging. https://doi.org/10.1117/1.jmi.13.4.044503
Source records
- crossref · retrieved 2026-09-26T18:41:08.035Z