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PnP-CoSMo is a plug-and-play framework for multi-contrast MRI reconstruction that learns content/style models from image data, enabling reconstruction without raw k-space training data. It is generalizable across contrasts and forward operators.
Discrete autoregressive MRI reconstruction using privileged information distillation achieves superior performance under extreme undersampling by leveraging visual autoregressive modeling techniques.