Dynamic control of carbon‐ion radiation dose distribution amid respiratory motion challenges: A review of prediction research using geant4 and deep learning physics‐constrained models
- DOI
- 10.1002/acm2.70766
- Published
- 2026-10-20
- Container
- Journal of Applied Clinical Medical Physics
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/acm2.70766,
title = {Dynamic control of carbon‐ion radiation dose distribution amid respiratory motion challenges: A review of prediction research using geant4 and deep learning physics‐constrained models},
author = {Jianhua Ding and Peng Li and Chai Hong Yeong},
year = {2026},
journal = {Journal of Applied Clinical Medical Physics},
doi = {10.1002/acm2.70766},
url = {https://doi.org/10.1002/acm2.70766}
}RIS
TY - JOUR TI - Dynamic control of carbon‐ion radiation dose distribution amid respiratory motion challenges: A review of prediction research using geant4 and deep learning physics‐constrained models AU - Jianhua Ding AU - Peng Li AU - Chai Hong Yeong PY - 2026 JO - Journal of Applied Clinical Medical Physics DO - 10.1002/acm2.70766 UR - https://doi.org/10.1002/acm2.70766 ER -
APA
Ding, J., Li, P., & Yeong, C. H. (2026). Dynamic control of carbon‐ion radiation dose distribution amid respiratory motion challenges: A review of prediction research using geant4 and deep learning physics‐constrained models. Journal of Applied Clinical Medical Physics. https://doi.org/10.1002/acm2.70766
Source records
- crossref · retrieved 2026-11-07T07:00:24.954Z