Ge Wang

Research.com Recognitions

• 2019 - Fellow, National Academy of Inventors
• 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
• 2007 - SPIE Fellow
• 2003 - IEEE Fellow For contributions to X-ray tomography.

Overview

Best Publications

• Principles of Computerized Tomographic Imaging

  Avinash C. Kak;Malcolm Slaney;Ge Wang

  10775
  Citations

• Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

  Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin

  1802
  Citations

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

  Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  1598
  Citations

• Low-dose CT via convolutional neural network

  Hu Chen;Yi Zhang;Weihua Zhang;Peixi Liao

  776
  Citations

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

  Qiong Xu;Hengyong Yu;Xuanqin Mou;Lei Zhang

  746
  Citations

• Compressed sensing based interior tomography.

  Hengyong Yu;Ge Wang

  689
  Citations

• Convergence of the simultaneous algebraic reconstruction technique (SART)

  Ming Jiang;Ge Wang

  638
  Citations

• Iterative deblurring for CT metal artifact reduction

  Ge Wang;D.L. Snyder;J.A. O'Sullivan;M.W. Vannier

  552
  Citations

• A general cone-beam reconstruction algorithm

  G. Wang;T.-H. Lin;P. Cheng;D.M. Shinozaki

  548
  Citations

• On Interpretability of Artificial Neural Networks: A Survey

  Feng-Lei Fan;Jinjun Xiong;Mengzhou Li;Ge Wang

  508
  Citations

• A Perspective on Deep Imaging

  Ge Wang

  503
  Citations

• Deep learning for tomographic image reconstruction

  Ge Wang;Jong Chul Ye;Bruno De Man

  501
  Citations

• CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

  Chenyu You;Wenxiang Cong;Michael W. Vannier;Punam K. Saha

  486
  Citations

• Image Reconstruction is a New Frontier of Machine Learning

  Ge Wang;Jong Chu Ye;Klaus Mueller;Jeffrey A. Fessler

  482
  Citations

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

  Ge Wang;Hengyong Yu;Bruno De Man

  472
  Citations

• Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

  Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin

  460
  Citations

• 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

  Hongming Shan;Yi Zhang;Qingsong Yang;Uwe Kruger

  439
  Citations

• LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT

  Hu Chen;Yi Zhang;Yunjin Chen;Junfeng Zhang

  435
  Citations

• Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.

  Hongming Shan;Atul Padole;Fatemeh Homayounieh;Uwe Kruger

  417
  Citations

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

  Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  409
  Citations

• Practical reconstruction method for bioluminescence tomography

  Wenxiang Cong;Ge Wang;Durairaj Kumar;Yi Liu

  366
  Citations