Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review.
- DOI
- 10.1016/j.radonc.2024.110542
- Published
- 2024 Dec
- Container
- Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.radonc.2024.110542,
title = {Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review.},
author = {Wahid KA and Kaffey ZY and Farris DP and Humbert-Vidan L and Moreno AC and Rasmussen M and Ren J and Naser MA and Netherton TJ and Korreman S and Balakrishnan G and Fuller CD and Fuentes D and Dohopolski MJ},
year = {2024},
journal = {Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology},
doi = {10.1016/j.radonc.2024.110542},
url = {https://doi.org/10.1016/j.radonc.2024.110542}
}RIS
TY - JOUR TI - Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review. AU - Wahid KA AU - Kaffey ZY AU - Farris DP AU - Humbert-Vidan L AU - Moreno AC AU - Rasmussen M AU - Ren J AU - Naser MA AU - Netherton TJ AU - Korreman S AU - Balakrishnan G AU - Fuller CD AU - Fuentes D AU - Dohopolski MJ PY - 2024 JO - Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology DO - 10.1016/j.radonc.2024.110542 UR - https://doi.org/10.1016/j.radonc.2024.110542 ER -
APA
KA, W., ZY, K., DP, F., L, H., AC, M., M, R., J, R., MA, N., TJ, N., S, K., G, B., CD, F., D, F., & MJ, D. (2024). Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review.. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. https://doi.org/10.1016/j.radonc.2024.110542
Source records
- pubmed · retrieved 2026-09-25T12:33:35.930Z