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20192021
most citedAdvancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

267 citations · 284 across the 5 of their papers we have counts for

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eess.IV2019★ 1 cited

GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction

Anuroop Sriram, Jure Zbontar, Tullie Murrell +3

Magnetic Resonance Image (MRI) acquisition is an inherently slow process which has spurred the development of two different acceleration methods: acquiring multiple correlated samp…