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Stockholm, Sweden

ESTRO 2026

Session

Sunday
May 17
10:30 - 11:00
Poster Area
Autosegmentation
Poster Highlights
Physics
Domain-specific fine-tuning of a 3D foundation model for automated head and neck organ at risk segmentation
Nikos Papanikolaou, USA
-1454
Accelerating treatment pathways with AI auto-contouring: Reducing time from CT to treatment through automation and dynamic patient scheduling
Michael Roche, Ireland
-4310
Multicentric comparative analysis of 8 commercial deep learning-based autocontouring solutions for the delineation of head and neck organs-at-risk
Moritz WESTERMAYER, France
-4421
Integrating eye-tracking into abdominal CT segmentation: a pilot study
Leila Khaertdinova, Denmark
-4429
CT-based brain substructure segmentation in paediatric and young adult medulloblastoma: a feasibility study using MR-derived training labels
Chelsea Sargeant, United Kingdom
-4605
Multi-modal integration of endoscopic findings and imaging for improved GTVp auto-segmentation in head and neck cancer
Alexandra Rink, Canada
-4934
Training CBCT auto-segmentation models without segmented CBCT data using cyclic image synthesis
Adrian Thummerer, Germany
-2234
AI-Generated Multiple Plausible Contours for Clinically Meaningful Uncertainty Quantification in Auto-Contouring
Sooha Kim, United Kingdom
-2267
Potential of semi-automated uncertainty-guided segmentation to reduce editing effort in online adaptive treatment of the prostate
Joëlle van Aalst, The Netherlands
-2855
Local Convolutional Dice Similarity (lcDSC): A geometric contour similarity measure with good correlation to visual assessment and clinical usability
Michael Nix, United Kingdom
-3150
Developing an in-house target AI contouring model for craniospinal patients – from idea to routine practice
Love Goyal, United Kingdom
-3802
Clinical and automated heart segmentation and dose-volume metric variation for lung and breast radiotherapy across the Australian Cancer Data Network
Lois Holloway, Australia
-4078
Using audit log time stamps to assess editing time of deep learning generated contours
Geert De Kerf, Belgium
-4280