Application of support vector machines for modeling dosimetric uncertainty in radiotherapy planning.

Bice N, Osterman KS, Galavis P, Xue J, Barbee DL, Teruel JR

DOI: 10.1007/s12194-026-01032-2
Published: 2026 Jun
Container: Radiological physics and technology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s12194-026-01032-2,
  title = {Application of support vector machines for modeling dosimetric uncertainty in radiotherapy planning.},
  author = {Bice N and Osterman KS and Galavis P and Xue J and Barbee DL and Teruel JR},
  year = {2026},
  journal = {Radiological physics and technology},
  doi = {10.1007/s12194-026-01032-2},
  url = {https://doi.org/10.1007/s12194-026-01032-2}
}

RIS

TY  - JOUR
TI  - Application of support vector machines for modeling dosimetric uncertainty in radiotherapy planning.
AU  - Bice N
AU  - Osterman KS
AU  - Galavis P
AU  - Xue J
AU  - Barbee DL
AU  - Teruel JR
PY  - 2026
JO  - Radiological physics and technology
DO  - 10.1007/s12194-026-01032-2
UR  - https://doi.org/10.1007/s12194-026-01032-2
ER  -

APA

N, B., KS, O., P, G., J, X., DL, B., & JR, T. (2026). Application of support vector machines for modeling dosimetric uncertainty in radiotherapy planning.. Radiological physics and technology. https://doi.org/10.1007/s12194-026-01032-2

Source records

pubmed · retrieved 2026-11-10T11:03:22.861Z