Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review.

Wahid KA, Kaffey ZY, Farris DP, Humbert-Vidan L, Moreno AC, Rasmussen M, Ren J, Naser MA, Netherton TJ, Korreman S, Balakrishnan G, Fuller CD, Fuentes D, Dohopolski MJ

Open source

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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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

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