iR2D2 extends the R2D2 DNN series paradigm with an interlaced dual-series architecture and error-controlled updates to jointly reconstruct MR images and self-calibrate sensitivity maps from undersampled radial k-space data.
Nonuniform fast Fourier transforms using min-max interpolation
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Bilevel-optimized implicit neural representation with Gaussian process hyperparameter tuning enables scan-specific accelerated MRI reconstruction without training data.
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Interlaced R2D2 DNN Series for Scalable Non-Cartesian MRI with Sensitivity Self-calibration
iR2D2 extends the R2D2 DNN series paradigm with an interlaced dual-series architecture and error-controlled updates to jointly reconstruct MR images and self-calibrate sensitivity maps from undersampled radial k-space data.
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Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction
Bilevel-optimized implicit neural representation with Gaussian process hyperparameter tuning enables scan-specific accelerated MRI reconstruction without training data.