2 citations · 2 across the 1 of their papers we have counts for
3 papers
eess.IV2020★ 2 cited
Visualization of fully connected layer weights in deep learning CT reconstruction
Qiyang Zhang, Dong Liang
Recently, the use of deep learning techniques to reconstruct computed tomography (CT) images has become a hot research topic, including sinogram domain methods, image domain method…
physics.med-ph2019
Automatic image-domain Moire artifact reduction method in grating-based x-ray interferometry imaging
Jianwei Chen, Jiongtao Zhu, Wei Shi +3
The aim of this study is to demonstrate the feasibility of removing the image Moire artifacts caused by system inaccuracies in grating-based x-ray interferometry imaging system via…
physics.med-ph2018
Deconvolution-Based Backproject-Filter (BPF) Computed Tomography Image Reconstruction Method Using Deep Learning Technique
Yongshuai Ge, Qiyang Zhang, Zhanli Hu +4
For conventional computed tomography (CT) image reconstruction tasks, the most popular method is the so-called filtered-back-projection (FBP) algorithm. In it, the acquired Radon p…