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Session

Poster discussion 16: Deep-learning for dose prediction and planning
Poster discussions
Physics
Dose prediction with deep learning: the effect of data quality and quantity in the model’s accuracy
Ana Maria Barragan Montero, Belgium
PD-0818
Dose mimicking by deep learning based fluence prediction: one model for different class solutions
Liesbeth Vandewinckele, Belgium
PD-0819
DeepDoseOpt: End-to-End VMAT Pelvis Dose Prediction & Treatment Planning Inference
Kumar Shreshtha, France
PD-0820
Artificial Intelligence based planning of HDR prostate brachytherapy: first clinical experience.
Danique Barten, The Netherlands
PD-0821
Bespoke vs machine learned: can expert Pareto navigated treatment planning be modelled?
Iona Foster, United Kingdom
PD-0822
Development of artificial intelligence based treatment planning for locally advanced breast cancer
Dennis van de Sande, The Netherlands
PD-0823