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研究人员提出一种共享 LoRA（Low-Rank Adaptation）权重的方法，旨在跨不同加速因子（Acceleration Factors）统一优化磁共振成像（MRI）的重建过程。该方法通过单一 LoRA 权重参数适配多种加速场景，以解决传统方法在不同加速倍数下性能不一致的问题，从而提升 MRI 重建的通用性与效率。
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