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The paper proposes a novel framework for Compressed Sensing MRI (CS-MRI) reconstruction. Unlike traditional deep learning methods that rely on fixed-architecture convolutional neural networks (CNNs) or U-Nets, this approach utilizes (often using Multi-Layer Perceptrons or MLPs) to model the continuous domain of the MR image. repo csrinru free

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The specific authors vary by publication venue, but this work typically appears in conferences like MICCAI or in arXiv preprints involving MRI reconstruction. Unlike traditional deep learning methods that rely on