MRecover synthesizes motion-robust TSE images from T1w inputs using autoregressive slice conditioning, achieving SSIM 0.84 in-domain and volume correlations r=0.87-0.97 out-of-domain while recovering 31.8% more analyzable subjects in ADNI3.
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MRecover: A Conditional Generative Model for Recovering Motion-Corrupted MR images Using AI Generated Contrast
MRecover synthesizes motion-robust TSE images from T1w inputs using autoregressive slice conditioning, achieving SSIM 0.84 in-domain and volume correlations r=0.87-0.97 out-of-domain while recovering 31.8% more analyzable subjects in ADNI3.