11 citations · 29 across the 6 of their papers we have counts for
6 papers
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathology Images
Chulong Zhang, Yuming Jiang, Na Li +9
Pathologists need to combine information from differently stained pathology slices for accurate diagnosis. Deformable image registration is a necessary technique for fusing multi-m…
Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism
Minghan Fu, Yanhua Duan, Zhaoping Cheng +4
Reducing the radiation exposure for patients in Total-body CT scans has attracted extensive attention in the medical imaging community. Given the fact that low radiation dose may r…
Elastic Net based Feature Ranking and Selection
Shaode Yu, Haobo Chen, Hang Yu +5
Feature selection is important in data representation and intelligent diagnosis. Elastic net is one of the most widely used feature selectors. However, the features selected are de…
CT Super Resolution via Zero Shot Learning
Zhicheng Zhang, Shaode Yu, Wenjian Qin +3
Computed Tomography (CT) is an advanced imaging technology used in many important applications. Here we present a deep-learning (DL) based CT super-resolution (SR) method that can…
A Matlab Toolbox for Feature Importance Ranking
Shaode Yu, Zhicheng Zhang, Xiaokun Liang +4
More attention is being paid for feature importance ranking (FIR), in particular when thousands of features can be extracted for intelligent diagnosis and personalized medicine. A…
Multi-materials beam hardening artifacts correction for computed tomography (CT) based on X-ray spectrum estimation
Wei Zhao, Dengwang Li, Kai Niu +3
Due to the energy-dependent nature of the attenuation coefficient and the polychromaticity of the X-ray source, beam hardening effect occurs when X-ray photons penetrate through an…