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Stockholm, Sweden

ESTRO 2026

Session

Sunday
May 17
11:15 - 11:30
Poster Area
Machine learning and AI algorithms
Poster Highlights
Physics
Developing a machine learning-based digital twin for an electron FLASH radiotherapy LINAC
Johan Leygonie, France
-575
VQ-DoseNet: A Vector Quantized Model for Stochastic Radiotherapy Dose Prediction
Dong Yang, China
-2046
GaMMA-Surv: Gated Multimodal Autoencoding Joint Fusion of PET/CT Imaging and Clinical Data for Multi-Centric Head and Neck Cancer Survival Prediction
Yujing Zou, Canada
-2371
Enhancing thoracic synthetic CT generation for MRI-only radiotherapy: evaluation of AFNO architecture and other key parameters
Davide Cusumano, Italy
-2708
Enhancing deep learning NTCP prediction for late xerostomia using mid-treatment CT scans
Luuk van der Hoek, The Netherlands
-2808
Large language model-based automation of clinical data extraction in esophageal cancer
Harini Veeraraghavan, USA
-3355
Pathways towards AI implementation in Radiotherapy
Maria Jacobs, The Netherlands
-3908
Med-ImageNet – A Standardized Resource for AI-Ready Oncology Imaging
Joshua Siraj, Canada
-4846