A multi-sequence MRI recovery network trained on random undersampling masks, then fine-tuned on a chosen strategy, outperforms recovering each sequence independently and offers a cheap way to pick sampling factors.
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Towards multi-sequence MR image recovery from undersampled k-space data
A multi-sequence MRI recovery network trained on random undersampling masks, then fine-tuned on a chosen strategy, outperforms recovering each sequence independently and offers a cheap way to pick sampling factors.