11 citations · 28 across the 5 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…
physics.med-ph2019★ 4 cited
Simultaneous Segmentation and Relaxometry for MRI through Multitask Learning
Peng Cao, Jing Liu, Shuyu Tang +4
Purpose: This study demonstrated an MR signal multitask learning method for 3D simultaneous segmentation and relaxometry of human brain tissues. Materials and Methods: A 3D inversi…