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METHODS Self-consistent robust artificial-neural-networks for k-space interpolation (sRAKI) performs iterative synchronous imaging reconstruction by implementing self-consistency among coils. The approach bears similarity to SPIRiT, but stretches the linear convolutions in SPIRiT to nonlinear interpolation using convolutional neural systems (CNNs). These CNNs tend to be trained individually for each scan using the scan-specific autocalibrating signal (ACS) information. Reconstruction is comp
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