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DE-NIK: Leveraging Dual-Echo Data for Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit k-Space Representations

Learning non-rigid registration in k-space from highly-accelerated cardiac and respiratory MR data

PHIMO: Physics-Informed Motion Correction of GRE MRI for T2* Quantification

Reconstruction-free segmentation from undersampled k-space using transformers

Self-Supervised Low-rank plus Sparse Network for Radial MRI Reconstruction

TransGRAPPA: Self-supervised Transformer Network for k-Space Interpolation