Author

A. Castelo

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Open access Sep 2026

Context‐informed personalized segmentation from radiology reports: A fully automated framework for long‐term liver tumor follow‐up

Personalized segmentation has been shown to improve performance over generalized models in follow‐up imaging; however, its robustness across large temporal gaps remains unclear. We propose a fully automated, context‐informed personalization framework that integrates radiology report‐derived clinical context with imagin...

J. Chun, M. Woodland, A. Castelo et al. · Medical Physics (Lancaster) · 0 citations

Review Open access Aug 2026

Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

Results indicate that clinically meaningful failure detection can be derived from unlabeled data, and propose a label-free framework for calibrating OOD score thresholds.

M. Nielsen, A. Castelo, M. Altaie et al. · medRxiv · 0 citations