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Vienna, Austria

ESTRO 2025

Session

Sunday
May 04
09:00 - 10:00
Stolz 1
Validation and application of autosegmentation
Charlotte Brouwer, The Netherlands;
Matteo Maspero, The Netherlands
Mini-Orals are presented at one of the sessions scheduled in the two mini-oral theatres. Each author will present a 4-slide PowerPoint orally for 4 minutes, followed by 3 minutes for discussion. Sessions will be recorded and made available via the online platform and mobile app.
Mini-Orals
Physics
09:00 - 09:07
Interpreting convolutional neural network explainability for head-and-neck cancer radiotherapy organ-at-risk segmentation
Victor Strijbis, Switzerland
E25-3091
09:07 - 09:14
Pioneering AI delineation in online adaptive MRI-guided radiotherapy: Prospective study shows time gains for prostate cancer
Maximilian Konrad, Denmark
E25-2630
09:14 - 09:21
Quality monitoring of AI auto-segmentation performance for prostate cancer patients
Yi Rong, USA
E25-3241
09:21 - 09:28
Assessment of a novel approach for validating auto-contouring systems with an expert predicted acceptability range
Katherine Mackay, United Kingdom
E25-1621
09:28 - 09:35
Developing a Deep Learning Segmentation QA Dashboard
Guus Spenkelink, The Netherlands
E25-1832
09:35 - 09:42
Validating an AI segmentation model for patients with prostate cancer: Does AI assisted delineation bias the clinician towards the AI segmentation?
Henrik Nissen, Denmark
E25-3786
09:42 - 09:49
Position-Guided Auto-segmentation of Vestibular Schwannomas and Dosimetric Evaluation in Gamma Knife Radiosurgery
younghun yoon, Korea Republic of
E25-3152
09:49 - 09:56
Incorporation of CTV delineation uncertainty through deep learning-based probabilistic segmentation maps
Gabriele Palazzo, Italy
E25-1813