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Stockholm, Sweden

ESTRO 2026

Session

Saturday
May 16
10:30 - 11:30
A7
Trustworthy AI in radiotherapy: Uncertainty, validation and interpretability
Artemis Bouzaki, United Kingdom;
Eliana Maria Vasquez Osorio, United Kingdom
Proffered Papers
Physics
10:30 - 11:30
Bayesian neural network for personalised, uncertainty-aware intrafraction PTV margin adaptation in open-facemask head-and-neck radiotherapy using SGRT
Ciaran Malone, Ireland
-368
10:30 - 11:30
Quad-modal Digital Patient Phantom Generation via Latent Rectified Flow: Toward a Large Cohort Creator for Virtual Trials
Muheng Li, Switzerland
-4521
10:30 - 11:30
Catching MRI?outliers:?unsupervised?detection and?localization of?MRI?artefacts?and?clinical?anomalies?using?deep learning
Mustafa Kadhim, Sweden
-3259
10:30 - 11:30
Evaluation of Uncertainty Quantification Methods for Deep Learning Normal Tissue Complication Probability Models in Head and Neck Cancer Patients
Daniel MacRae, The Netherlands
-2224
10:30 - 11:30
Towards interpretable models for multimodal survival analysis
Mafalda Malafaia, The Netherlands
-752
10:30 - 11:30
Prediction and interpretation of gamma map failures in breast IMRT using deep learning and explainability
Eva Ambroa, Spain
-559