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Found 3 papers, 1 papers with code
Deep Learning-based Intraoperative MRI Reconstruction
Results: The DL reconstruction was strongly favored or favored over the CS reconstruction for 33/40, 39/40, and 8/40 of cases for reader 1, 2, and 3, respectively.
A Densely Interconnected Network for Deep Learning Accelerated MRI
In an ablation study, the individual architectural modifications all contributed to this improvement, by reducing the SSIM and NMSE with approximately 3% and 5% for four-fold acceleration, respectively.
Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine
The IndRNN is an efficient recurrent unit, reducing inference time by 68\% compared to CS, whereas maintaining performance.
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