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Session

Sunday
May 14
16:45 - 17:45
Strauss 1
Dose accumulation and dose prediction
Hugo Palmans, Austria;
Nina Niebuhr, Germany
Proffered Papers are presented in one of the sessions scheduled in the main session halls. Each author will present orally for 7 minutes, followed by 3 minutes for discussion. Sessions will be recorded and available on-demand.
2530
Proffered Papers
Physics
16:45 - 16:55
Automatic treatment selection guided by deep learning: a proof-of-concept for esophageal cancer
Camille Draguet, Belgium
OC-0613
16:55 - 17:05
A deep learning based dose engine
Marnix Witte, The Netherlands
OC-0614
17:05 - 17:15
Variations in cumulative dose assessment in re-irradiation scenarios: a multi-centre evaluation
Ane Appelt, United Kingdom
OC-0615
17:15 - 17:25
Generative adversarial networks for head-and-neck cancer radiotherapy dose distribution prediction
Victor Strijbis, The Netherlands
OC-0616
17:25 - 17:35
A multi-institutional retrospective deformable dose accumulation analysis for MR-guided RT
Martina Murr, Germany
OC-0617
17:35 - 17:45
Recommendations for validation and verification of deformable image registration in radiotherapy
Lando Bosma, The Netherlands
OC-0618