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Computer Science

D-Index
37
Citations
6263
World Ranking
10695
National Ranking
4471

Overview

Leslie Ying is affiliated with the University at Buffalo, State University of New York in the United States. Their research primarily focuses on Medicine, with a significant emphasis on Radiology, Nuclear Medicine and Imaging. Their work also spans Biomedical Engineering, Computer Vision and Pattern Recognition, Biophysics, and Computational Mechanics.

The scientist's major areas of study include Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging, Wireless Body Area Networks, Photoacoustic and Ultrasonic Imaging, and MRI in cancer diagnosis.

Recent publications by Leslie Ying feature the following works:

  • Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks, 2020, IEEE Signal Processing Magazine
  • DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution, 2020, Magnetic Resonance Imaging
  • Deep low-Rank plus sparse network for dynamic MR imaging, 2021, Medical Image Analysis
  • Learned Low-Rank Priors in Dynamic MR Imaging, 2021, IEEE Transactions on Medical Imaging
  • A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography, 2020, Computerized Medical Imaging and Graphics

Frequent publication venues for Leslie Ying include:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • IEEE Transactions on Medical Imaging
  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • Magnetic Resonance in Medicine

Leslie Ying collaborates often with researchers including Dong Liang, Xiaoliang Zhang, Peizhou Huang, Yanjie Zhu, and Xiaojuan Li.

Best Publications

  • Accelerating magnetic resonance imaging via deep learning

    Shanshan Wang;Zhenghang Su;Leslie Ying;Xi Peng

  • Accelerating SENSE using compressed sensing.

    Dong Liang;Bo Liu;Bo Liu;JiunJie Wang;Leslie Ying

  • Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks

    Dong Liang;Jing Cheng;Ziwen Ke;Leslie Ying

  • Joint image reconstruction and sensitivity estimation in SENSE (JSENSE).

    Leslie Ying;Jinhua Sheng

  • DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

    Shanshan Wang;Huitao Cheng;Leslie Ying;Taohui Xiao

  • Beamlet Transform‐Based Technique for Pavement Crack Detection and Classification

    Leslie Ying;Ezzatollah Salari

  • Compressed Sensing Dynamic Cardiac Cine MRI Using Learned Spatiotemporal Dictionary

    Yanhua Wang;Leslie Ying

  • DIMENSION: Dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training

    Shanshan Wang;Ziwen Ke;Huitao Cheng;Sen Jia

  • Regularized sensitivity encoding (SENSE) reconstruction using bregman iterations

    Bo Liu;Kevin King;Michael Steckner;Jun Xie

  • Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery

    Qiegen Liu;Shanshan Wang;Leslie Ying;Xi Peng

  • k-t ISD: Dynamic cardiac MR imaging using compressed sensing with iterative support detection

    Dong Liang;Edward V R DiBella;Rong Rong Chen;Leslie Ying

  • On Tikhonov regularization for image reconstruction in parallel MRI

    L. Ying;D. Xu;Z.-P. Liang

  • Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction

    Yuchou Chang;Dong Liang;Leslie Ying

  • Sensitivity encoding reconstruction with nonlocal total variation regularization.

    Dong Liang;Haifeng Wang;Yuchou Chang;Leslie Ying

  • Sparsesense: Application of compressed sensing in parallel MRI

    Bo Liu;Yi Ming Zou;L. Ying

  • Compressed-sensing photoacoustic computed tomography in vivo with partially known support

    Jing Meng;Lihong V. Wang;Leslie Ying;Dong Liang

  • A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI

    Ukash Nakarmi;Yanhua Wang;Jingyuan Lyu;Dong Liang

  • Parallel MRI Using Phased Array Coils

    Leslie Ying;Zhi-Pei Liang

  • Deep low-Rank plus sparse network for dynamic MR imaging.

    Wenqi Huang;Ziwen Ke;Zhuo-Xu Cui;Jing Cheng

  • Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging

    Shanshan Wang;Sha Tan;Yuan Gao;Qiegen Liu

  • Toeplitz block matrices in compressed sensing and their applications in imaging

    F. Sebert;Yi Ming Zou;L. Ying

  • DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

    Shanshan Wang;Huitao Cheng;Leslie Ying;Taohui Xiao

Frequent Co-Authors

Dong Liang
Dong Liang Chinese Academy of Sciences
Hairong Zheng
Hairong Zheng Chinese Academy of Sciences
Xin Liu
Xin Liu Chinese Academy of Sciences
Zhi-Pei Liang
Zhi-Pei Liang University of Illinois at Urbana-Champaign
Xi Peng
Xi Peng Sichuan University
Gesualdo Scutari
Gesualdo Scutari Purdue University West Lafayette
Dong Xu
Dong Xu University of Missouri
Ying-Zu Huang
Ying-Zu Huang Chang Gung University
Song-Hai Shi
Song-Hai Shi Tsinghua University
Justin P. Haldar
Justin P. Haldar University of Southern California

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