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Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples
In the iterative learning approach (termed iterative RAKI), the optimized RAKI model is initially trained using original and augmented ACS obtained from a linear parallel imaging reconstruction.
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