most citedChoice of training label matters: how to best use deep learning for quantitative MRI parameter estimation

8 citations · 17 across the 4 of their papers we have counts for

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cs.LG2023★ 3 cited

Rician likelihood loss for quantitative MRI using self-supervised deep learning

Christopher S. Parker, Anna Schroder, Sean C. Epstein +3

Purpose: Previous quantitative MR imaging studies using self-supervised deep learning have reported biased parameter estimates at low SNR. Such systematic errors arise from the cho…