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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physics.med-ph2023★ 6 cited

Resolving quantitative MRI model degeneracy with machine learning via training data distribution design

Michele Guerreri, Sean Epstein, Hojjat Azadbakht +1

Quantitative MRI (qMRI) aims to map tissue properties non-invasively via models that relate these unknown quantities to measured MRI signals. Estimating these unknowns, which has t…

physics.med-ph2022★ 8 cited

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

Sean C. Epstein, Timothy J. P. Bray, Margaret Hall-Craggs +1

Deep learning (DL) is gaining popularity as a parameter estimation method for quantitative MRI. A range of competing implementations have been proposed, relying on either supervise…