KGR fits shared Gabor-Gaussian primitives directly in multi-coil k-space and applies low-rank projection, consistently outperforming representative parallel-MRI baselines on brain datasets.
Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) re- construction: Database-free deep learning for fast imaging,
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K-space Gaussian Representation for Parallel MRI
KGR fits shared Gabor-Gaussian primitives directly in multi-coil k-space and applies low-rank projection, consistently outperforming representative parallel-MRI baselines on brain datasets.