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20182021
most citedSPULTRA: Low-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models

25 citations · 51 across the 4 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

eess.SP2020★ 21 cited

Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction

Siqi Ye, Zhipeng Li, Michael T. McCann +2

Traditional model-based image reconstruction (MBIR) methods combine forward and noise models with simple object priors. Recent machine learning methods for image reconstruction typ…

eess.IV2020★ 4 cited

Momentum-Net for Low-Dose CT Image Reconstruction

Siqi Ye, Yong Long, Il Yong Chun

This paper applies the recent fast iterative neural network framework, Momentum-Net, using appropriate models to low-dose X-ray computed tomography (LDCT) image reconstruction. At…