most citedDeep learning-based reconstruction of highly accelerated 3D MRI

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.IV2022★ 2 cited

Deep learning-based reconstruction of highly accelerated 3D MRI

Sangtae Ahn, Uri Wollner, Graeme McKinnon +10

Purpose: To accelerate brain 3D MRI scans by using a deep learning method for reconstructing images from highly-undersampled multi-coil k-space data Methods: DL-Speed, an unrolled…