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It is suggested that uncertainty mapping for Fazekas score predictions can support model interpretation and targeted dataset review when reference labels are affected by ambiguity/ inter-rater variability.
Mixed-domain adversarial training boosts neonatal MRI reconstruction performance, achieving up to 0.924 SSIM at R=4—significantly outperforming traditional adult-only training.