Enhancing Generative Models for Modality Imputation of 3-D MRIs via Consistency-Aware Refinement and Super-Resolution Guidance
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Reconstructing missing modalities of magnetic resonance images (MRIs) is a significant challenge in the medical imaging field. Current generative approaches such as generative adversarial networks (GANs) and diffusion models (DFs) have shown promise in synthes... ...
