10 citations · 11 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 1 cited
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements
Ziling Wu, Tekin Bicer, Zhengchun Liu +3
Synchrotron-based X-ray computed tomography is widely used for investigating inner structures of specimens at high spatial resolutions. However, potential beam damage to samples of…
cs.CV2019★ 10 cited
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks
Ziling Wu, Abdulaziz Alorf, Ting Yang +2
Convolutional Neural Networks (CNN) based image reconstruction methods have been intensely used for X-ray computed tomography (CT) reconstruction applications. Despite great succes…