6 citations · 22 across the 5 of their papers we have counts for
6 papers
Dual-energy CT Reconstruction from Dual Quarter Scans
Wenkun Zhang, Ningning Liang, Linyuan Wang +7
Compared with conventional single-energy computed tomography (CT), dual-energy CT (DECT) provides better material differentiation but most DECT imaging systems require dual full-an…
Generative Adversarial Network-Based Sinogram Super-Resolution for Computed Tomography Imaging
Chao Tang, Wenkun Zhang, Linyuan Wang +4
Compared with the conventional 1*1 acquisition mode of projection in computed tomography (CT) image reconstruction, the 2*2 acquisition mode improves the collection efficiency of t…
CNN-based Automatic Detection of Bone Conditions via Diagnostic CT Images for Osteoporosis Screening
Chao Tang, Wenkun Zhang, Haiting Li +6
Purpose: The purpose is to design a novelty automatic diagnostic method for osteoporosis screening by using the potential capability of convolutional neural network (CNN) in featur…
Projection Super-resolution Based on Convolutional Neural Network for Computed Tomography
Chao Tang, Wenkun Zhang, Ziheng Li +5
The improvement of computed tomography (CT) image resolution is beneficial to the subsequent medical diagnosis, but it is usually limited by the scanning devices and great expense.…
A Sinogram Inpainting Method based on Generative Adversarial Network for Limited-angle Computed Tomography
Ziheng Li, Wenkun Zhang, Linyuan Wang +4
Limited-angle computed tomography (CT) image reconstruction is a challenging reconstruction problem in the fields of CT. With the development of deep learning, the generative adver…
Image Domain Dual Material Decomposition for Dual-Energy CT using Butterfly Network
Wenkun Zhang, Hanming Zhang, Linyuan Wang +5
Dual-energy CT (DECT) has been increasingly used in imaging applications because of its capability for material differentiation. However, material decomposition suffers from magnif…