MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement
Inferring contrast enhancement from one pre-contrast breast MRI slice is underdetermined: post-contrast appearance contains physiological information that is not uniquely encoded in baseline anatomy. Optimizing only paired pixel fidelity can suppress uncertain lesion enhancement, whereas adversarial or stochastic generative objectives can favor realistic post-contrast appearance without guaranteeing patient-specific lesion fidelity. We introduce MIRAGE, a residual 2D U-Net that combines global r
Record details
Published: 21 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Healthcare
Retrieved: 22 July 2026
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ethics.ai (21 July 2026), “MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement,” evidence record 12600, https://ethics.ai/record/12600 (originally published by arXiv cs.AI).
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