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3. Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. (7th November 2018)

5. Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy. (July 2021)

6. Differences between planned and delivered dose for head and neck cancer, and their consequences for normal tissue complication probability and treatment adaptation. (January 2020)

7. Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented 18F-fluorodeoxyglucose positron emission tomography. (January 2018)

8. Illustrated instructions for mechanical quality assurance of a medical linear accelerator. (3rd March 2018)

10. Magnetic Resonance-based Response Assessment and Dose Adaptation in Human Papilloma Virus Positive Tumors of the Oropharynx treated with Radiotherapy (MR-ADAPTOR): An R-IDEAL stage 2a-2b/Bayesian phase II trial. (November 2018)