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Computer Science

D-Index
48
Citations
11319
World Ranking
6106
National Ranking
2747

Overview

Hengyong Yu is affiliated with the University of Massachusetts Lowell in the United States. Their research primarily spans the fields of Medicine and Engineering, with a strong focus on Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering. Additional areas of study include Computer Vision and Pattern Recognition, Artificial Intelligence, and Media Technology.

Yu's main research topics involve Advanced X-ray and CT Imaging, Medical Imaging Techniques and Applications, Radiation Dose and Imaging, Radiomics and Machine Learning in Medical Imaging, Advanced MRI Techniques and Applications, Advanced Image Fusion Techniques, and Advanced Chemical Sensor Technologies.

Frequent publication venues for Yu's work include:

  • arXiv (Cornell University)
  • Physics in Medicine and Biology
  • IEEE Transactions on Medical Imaging
  • SSRN Electronic Journal
  • IEEE Access

Some of Yu's recent papers are:

  • DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction, 2021, IEEE Transactions on Medical Imaging
  • CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising, 2023, Physics in Medicine and Biology
  • Machine learning-enabled non-destructive paper chromogenic array detection of multiplexed viable pathogens on food, 2021, Nature Food
  • CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging, 2021, IEEE Transactions on Medical Imaging
  • MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction, 2020, IEEE Transactions on Medical Imaging

The collaboration network of Hengyong Yu includes frequent co-authors such as Weiwen Wu, Dayang Wang, Ge Wang, Boce Zhang, and Shaoyu Wang, reflecting collaboration across multiple research projects.

Best Publications

  • Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

    Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  • Low-Dose X-ray CT Reconstruction via Dictionary Learning

    Qiong Xu;Hengyong Yu;Xuanqin Mou;Lei Zhang

  • Compressed sensing based interior tomography.

    Hengyong Yu;Ge Wang

  • An outlook on x-ray CT research and development.

    Ge Wang;Hengyong Yu;Bruno De Man

  • Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

    Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  • Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM).

    Hao Gao;Hengyong Yu;Hengyong Yu;Stanley Osher;Ge Wang;Ge Wang

  • Convolutional Neural Network Based Metal Artifact Reduction in X-ray Computed Tomography

    Yanbo Zhang;Hengyong Yu

  • A soft-threshold filtering approach for reconstruction from a limited number of projections

    Hengyong Yu;Ge Wang;Ge Wang

  • A general local reconstruction approach based on a truncated Hilbert transform

    Yangbo Ye;Hengyong Yu;Yuchuan Wei;Ge Wang

  • DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction

    Weiwen Wu;Dianlin Hu;Chuang Niu;Hengyong Yu

  • High-order total variation minimization for interior tomography

    Jiansheng Yang;Hengyong Yu;Ming Jiang;Ming Jiang;Ge Wang

  • Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography

    Yanbo Zhang;Hengyong Yu

  • Tensor-Based Dictionary Learning for Spectral CT Reconstruction

    Yanbo Zhang;Xuanqin Mou;Ge Wang;Hengyong Yu

  • A general exact reconstruction for cone-beam CT via backprojection-filtration

    Yangbo Ye;Shiying Zhao;Hengyong Yu;Ge Wang

  • Low-dose spectral CT reconstruction using image gradient ℓ0-norm and tensor dictionary.

    Weiwen Wu;Weiwen Wu;Yanbo Zhang;Qian Wang;Fenglin Liu

  • Machine learning-enabled non-destructive paper chromogenic array detection of multiplexed viable pathogens on food

    Manyun Yang;Xiaobo Liu;Yaguang Luo;Arne J. Pearlstein

  • Statistical Interior Tomography

    Qiong Xu;Xuanqin Mou;Ge Wang;Jered Sieren

  • Data Consistency Based Rigid Motion Artifact Reduction in Fan-Beam CT

    Hengyong Yu;Ge Wang

  • The meaning of interior tomography

    Ge Wang;Hengyong Yu

  • A segmentation-based method for metal artifact reduction.

    Hengyong Yu;Kai Zeng;Deepak K. Bharkhada;Ge Wang

  • Image Reconstruction for Hybrid True-Color Micro-CT

    Qiong Xu;Hengyong Yu;J. Bennett;Peng He

  • Studies on implementation of the Katsevich algorithm for spiral cone-beam CT

    Hengyong Yu;Ge Wang

Frequent Co-Authors

Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Otto Zhou
Otto Zhou University of North Carolina at Chapel Hill
Jiang Hsieh
Jiang Hsieh General Electric (Spain)
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Lizhi Sun
Lizhi Sun University of California, Irvine
Lamine Mili
Lamine Mili Virginia Tech
Jianping Lu
Jianping Lu University of North Carolina at Chapel Hill
Michael W. Vannier
Michael W. Vannier University of Chicago
Qing-Hua Xu
Qing-Hua Xu National University of Singapore

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