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Stockholm, Sweden

ESTRO 2026

Session

Sunday
May 17
15:15 - 16:15
K2
Uncertainty and QA in autosegmentation
Conor McGarry, United Kingdom
Poster Discussions
Physics
15:15 - 16:15
Individual editing patterns of auto-segmentation in clinical use and their relationship with clinical acceptability
Rita Simões, The Netherlands
-2671
15:15 - 16:15
Automated annotation error detection and correction for manual 2D cine-MRI segmentations using Segment Anything 2
Rob HN Tijssen, The Netherlands
-4101
15:15 - 16:15
Predicting the dosimetric impact of local manual adjustments to organ of interest auto-segmentations in HNC
Joëlle van Aalst, The Netherlands
-2279
15:15 - 16:15
Enhancing vertebral metastasis segmentation in CT using anatomical context-aware deep learning
Mehdi Astaraki, Sweden
-4812
15:15 - 16:15
Bayesian deformable registration for automatic probabilistic localisation of the intraprostatic lesion for precision boosting on the MR-linac
Sarah Blackledge, United Kingdom
-4270
15:15 - 16:15
Trustworthy AI: An uncertainty-aware segmentation pipeline for treatment planning of liver metastases
Dominik Langner, Germany
-4282
15:15 - 16:15
One-shot patient-specific fine-tuning of a non-specialized autosegmentation model provides high quality CTV delineations
Nicole Ferreira Silverio, The Netherlands
-4648
15:15 - 16:15
A systematic review of the clinical assessment methods used to evaluate auto-contouring systems for radiotherapy; a call for standardised practice
Katherine Mackay, United Kingdom
-3548
15:15 - 16:15
Assessing quality assurance methods sensitivity to detect clinically relevant errors in prostate cancer auto-segmentations
Michaël Claessens, Belgium
-1585
15:15 - 16:15
Radiotherapy QA of hippocampus and hypothalamus contouring for the APPROACH trial (ISRCTN:1339049)
Jennifer Golten, United Kingdom
-2150