80 citations · 102 across the 9 of their papers we have counts for
9 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…
Efficient Image Reconstruction and Practical Decomposition for Dual-energy Computed Tomography
Lei Li, Ailong Cai, Linyuan Wang +6
Dual-energy computed tomography (DECT) has shown great potential and promising applications in advanced imaging fields for its capabilities of material decomposition. However, imag…
Equivalence of L0 and L1 Minimizations in Sudoku Problem
Linyuan Wang, Wenkun Zhang, Bin Yan +1
Sudoku puzzles can be formulated and solved as a sparse linear system of equations. This problem is a very useful example for the Compressive Sensing (CS) theoretical study. In thi…
Quantitative Study on Exact Reconstruction Sampling Condition in Limited-view CT
Bin Yan, Wenkun Zhang, Lei Li +2
In limited-view computed tomography reconstruction, iterative image reconstruction with sparsity-exploiting methods, such as total variation (TV) minimization, inspired by compress…