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Stochastic Finite-Transition Learning and Exploration for Accelerated MRI Reconstruction
Generative MRI reconstruction maps an initial source distribution to the target image distribution along a learned recovery trajectory. Common generative methods, such as diffusion and flow, typically learn fine-grained local dynamics whose integration defines this global mapping, hence requiring ma
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