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Suzanne P M de Vette

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International Journal of Radiation Oncology, Biology, Physics|December 19, 2022
Automated Robust Planning for IMPT in Oropharyngeal Cancer Patients Using Machine LearningIlse G van Bruggen, Merle Huiskes, Suzanne P M de Vette, et al.
International Journal of Radiation Oncology, Biology, Physics|August 15, 2024
Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck CancerHung Chu, Suzanne P M de Vette, Hendrike Neh, et al.
Physics and Imaging in Radiation Oncology|May 8, 2026
An evaluation of uncertainty quantification methods and measures for deep learning outcome prediction models in head and neck cancer radiotherapyDaniel C MacRae, Luuk van der Hoek, Joëlle E van Aalst, et al.
Oral Oncology|March 2, 2025
Evaluation of a comprehensive set of normal tissue complication probability models for patients with head and neck cancer in an international cohortSuzanne P M de Vette, Maria I van Rijn-Dekker, Lisa Van den Bosch, et al.
International Journal of Radiation Oncology, Biology, Physics|February 5, 2026
Multi-institutional Normal Tissue Complication Probability (NTCP) Prediction Model for Mandibular Osteoradionecrosis: Results from the PREDMORN StudyLaia Humbert-Vidan, Christian R Hansen, Steven Petit, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
International Journal of Radiation Oncology, Biology, Physics|December 19, 2022
Automated Robust Planning for IMPT in Oropharyngeal Cancer Patients Using Machine LearningIlse G van Bruggen, Merle Huiskes, Suzanne P M de Vette, et al.
International Journal of Radiation Oncology, Biology, Physics|August 15, 2024
Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck CancerHung Chu, Suzanne P M de Vette, Hendrike Neh, et al.
Physics and Imaging in Radiation Oncology|May 8, 2026
An evaluation of uncertainty quantification methods and measures for deep learning outcome prediction models in head and neck cancer radiotherapyDaniel C MacRae, Luuk van der Hoek, Joëlle E van Aalst, et al.
Oral Oncology|March 2, 2025
Evaluation of a comprehensive set of normal tissue complication probability models for patients with head and neck cancer in an international cohortSuzanne P M de Vette, Maria I van Rijn-Dekker, Lisa Van den Bosch, et al.
International Journal of Radiation Oncology, Biology, Physics|February 5, 2026
Multi-institutional Normal Tissue Complication Probability (NTCP) Prediction Model for Mandibular Osteoradionecrosis: Results from the PREDMORN StudyLaia Humbert-Vidan, Christian R Hansen, Steven Petit, et al.
Pageof 1