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cs.CV2026
Beyond Performance Metrics: Uncertainty Mapping of Label Ambiguity in Fazekas Score Prediction
Susanne Schmid, Johanna Ospel, Richard Frayne +1
Reference labels used to train medical image classification models are not always as certain as they may appear, and this uncertainty has implications on performance metrics. In th…
cs.CV2026
Contrast-Informed Augmentation and Domain-Adversarial Training for Adult-to-Neonatal MR Reconstruction Generalization
Stephen Moore, Lara Leijser, Richard Frayne +1
Purpose: To investigate whether contrast-informed data augmentation and domain-adversarial training improve the adult-to-neonatal generalization of the E2E-VarNet. Methods: Three t…