Multi-centre generalisability of deep learning-based dose prediction for head and neck radiotherapy using DAHANCA real-world data

Camilla P. Nielsen, Margerie Huet-Dastarac, Kenneth Jensen, Carsten Brink, Bob Smulders, Anne I.S. Holm, Martin S. Nielsen, Patrik Sibolt, John A. Lee, Edmond Sterpin, Ruta Zukauskaite, Jørgen Johansen, Simon L. Krogh, Maximilian L. Konrad, Jeppe Friborg, Jeanette F.A. Sommer, Sarah W. Stougaard, Jens Overgaard, Kasper Toustrup, Camilla K. Lonkvist, Mohammad Farhadi, Laura P. Kaplan, Rasmus Kjeldsen, Ebbe L. Lorenzen, Ana M. Barragán-Montero, Christian R. Hansen

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DOI: 10.1016/j.radonc.2026.111702
Published: 2026-09
Container: Radiotherapy and Oncology
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.radonc.2026.111702,
  title = {Multi-centre generalisability of deep learning-based dose prediction for head and neck radiotherapy using DAHANCA real-world data},
  author = {Camilla P. Nielsen and Margerie Huet-Dastarac and Kenneth Jensen and Carsten Brink and Bob Smulders and Anne I.S. Holm and Martin S. Nielsen and Patrik Sibolt and John A. Lee and Edmond Sterpin and Ruta Zukauskaite and Jørgen Johansen and Simon L. Krogh and Maximilian L. Konrad and Jeppe Friborg and Jeanette F.A. Sommer and Sarah W. Stougaard and Jens Overgaard and Kasper Toustrup and Camilla K. Lonkvist and Mohammad Farhadi and Laura P. Kaplan and Rasmus Kjeldsen and Ebbe L. Lorenzen and Ana M. Barragán-Montero and Christian R. Hansen},
  year = {2026},
  journal = {Radiotherapy and Oncology},
  doi = {10.1016/j.radonc.2026.111702},
  url = {https://doi.org/10.1016/j.radonc.2026.111702}
}

RIS

TY  - JOUR
TI  - Multi-centre generalisability of deep learning-based dose prediction for head and neck radiotherapy using DAHANCA real-world data
AU  - Camilla P. Nielsen
AU  - Margerie Huet-Dastarac
AU  - Kenneth Jensen
AU  - Carsten Brink
AU  - Bob Smulders
AU  - Anne I.S. Holm
AU  - Martin S. Nielsen
AU  - Patrik Sibolt
AU  - John A. Lee
AU  - Edmond Sterpin
AU  - Ruta Zukauskaite
AU  - Jørgen Johansen
AU  - Simon L. Krogh
AU  - Maximilian L. Konrad
AU  - Jeppe Friborg
AU  - Jeanette F.A. Sommer
AU  - Sarah W. Stougaard
AU  - Jens Overgaard
AU  - Kasper Toustrup
AU  - Camilla K. Lonkvist
AU  - Mohammad Farhadi
AU  - Laura P. Kaplan
AU  - Rasmus Kjeldsen
AU  - Ebbe L. Lorenzen
AU  - Ana M. Barragán-Montero
AU  - Christian R. Hansen
PY  - 2026
JO  - Radiotherapy and Oncology
DO  - 10.1016/j.radonc.2026.111702
UR  - https://doi.org/10.1016/j.radonc.2026.111702
ER  -

APA

Nielsen, C. P., Huet-Dastarac, M., Jensen, K., Brink, C., Smulders, B., Holm, A. I., Nielsen, M. S., Sibolt, P., Lee, J. A., Sterpin, E., Zukauskaite, R., Johansen, J., Krogh, S. L., Konrad, M. L., Friborg, J., Sommer, J. F., Stougaard, S. W., Overgaard, J., Toustrup, K., Lonkvist, C. K., Farhadi, M., Kaplan, L. P., Kjeldsen, R., Lorenzen, E. L., Barragán-Montero, A. M., & Hansen, C. R. (2026). Multi-centre generalisability of deep learning-based dose prediction for head and neck radiotherapy using DAHANCA real-world data. Radiotherapy and Oncology. https://doi.org/10.1016/j.radonc.2026.111702

Source records

crossref · retrieved 2026-09-25T17:21:24.105Z