most citedPhysical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples

6 citations · 9 across the 2 of their papers we have counts for

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eess.IV2021★ 6 cited

Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples

Alex Matlock, Lei Tian

Recovering 3D phase features of complex, multiple-scattering biological samples traditionally sacrifices computational efficiency and processing time for physical model accuracy an…

eess.IV2019

SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors

Zihui Wu, Yu Sun, Alex Matlock +3

Two features desired in a three-dimensional (3D) optical tomographic image reconstruction algorithm are the ability to reduce imaging artifacts and to do fast processing of large d…