37 citations · 100 across the 12 of their papers we have counts for
12 papers
Ultra-High-Definition Image Quality Assessment via Graph Representation Learning
Shaode Yu, Enqi Chen, Ming Huang +4
Blind image quality assessment (BIQA) for ultrahighdefinition (UHD) images remains challenging because native-resolution inference is computationally expensive, whereas aggressive…
SSA3D: Text-Conditioned Assisted Self-Supervised Framework for Automatic Dental Abutment Design
Mianjie Zheng, Xinquan Yang, Along He +6
Abutment design is a critical step in dental implant restoration. However, manual design involves tedious measurement and fitting, and research on automating this process with AI i…
Patient-specific mean teacher UNet for enhancing PET image and low-dose PET reconstruction on RefleXion X1 biology-guided radiotherapy system
Jie Fu, Zhicheng Zhang, Linxi Shi +9
The RefleXion X1 is the first biology-guided radiotherapy (BgRT) system. Its dual 90-degree PET detector collects fewer pair production events compared to a full-ring diagnostic PE…
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…
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
Lequan Yu, Zhicheng Zhang, Xiaomeng Li +3
The presence of metallic implants often introduces severe metal artifacts in the X-ray CT images, which could adversely influence clinical diagnosis or dose calculation in radiatio…
TransCT: Dual-path Transformer for Low Dose Computed Tomography
Zhicheng Zhang, Lequan Yu, Xiaokun Liang +2
Low dose computed tomography (LDCT) has attracted more and more attention in routine clinical diagnosis assessment, therapy planning, etc., which can reduce the dose of X-ray radia…
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…
Noise2Context: Context-assisted Learning 3D Thin-layer Low Dose CT Without Clean Data
Zhicheng Zhang, Xiaokun Liang, Wei Zhao +1
Computed tomography (CT) has played a vital role in medical diagnosis, assessment, and therapy planning, etc. In clinical practice, concerns about the increase of X-ray radiation e…
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
Lequan Yu, Zhicheng Zhang, Xiaomeng Li +1
Computed tomography (CT) has been widely used for medical diagnosis, assessment, and therapy planning and guidance. In reality, CT images may be affected adversely in the presence…
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…
An improved physics model for multi-material identification in photon counting CT
Xu Dong, Olga V. Pen, Zhicheng Zhang +1
Photon-counting computed tomography (PCCT) with energy discrimination capabilities hold great potentials to improve the limitations of the conventional CT, including better signal-…