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physics.med-ph2023★ 9 cited
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI
Andrew Mao, Sebastian Flassbeck, Jakob Assländer
Purpose: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cramér-Rao bound. Theory and Methods: We generaliz…
physics.med-ph2023★ 17 cited
Unconstrained quantitative magnetization transfer imaging: disentangling T1 of the free and semi-solid spin pools
Jakob Assländer, Andrew Mao, Elisa Marchetto +5
Since the inception of magnetization transfer (MT) imaging, it has been widely assumed that Henkelman's two spin pools have similar longitudinal relaxation times, which motivated m…