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
- Published
- Publisher
- Elsevier BV
- Journal / collection
- Radiotherapy and Oncology
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.1016/j.radonc.2026.111702
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Cite this source
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. Multi-centre generalisability of deep learning-based dose prediction for head and neck radiotherapy using DAHANCA real-world data. Radiotherapy and Oncology. 2026-09. https://doi.org/10.1016/j.radonc.2026.111702