activity
20202026
most citedUnsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks

19 citations · 35 across the 4 of their papers we have counts for

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physics.med-ph2020★ 11 cited

Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning pseudo-CT and Maximum Likelihood Estimation of Activity and Attenuation

Andrew P. Leynes, Sangtae P. Ahn, Kristen A. Wangerin +4

A major remaining challenge for magnetic resonance-based attenuation correction methods (MRAC) is their susceptibility to sources of MRI artifacts (e.g. implants, motion) and uncer…