| Low-dose CT with a residual encoder-decoder convolutional neural network H Chen, Y Zhang, MK Kalra, F Lin, Y Chen, P Liao, J Zhou, G Wang IEEE transactions on medical imaging 36 (12), 2524-2535, 2017 | 1375 | 2017 |
| Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss Q Yang, P Yan, Y Zhang, H Yu, Y Shi, X Mou, MK Kalra, Y Zhang, L Sun, ... IEEE transactions on medical imaging 37 (6), 1348-1357, 2018 | 1334 | 2018 |
| Low-dose CT via convolutional neural network H Chen, Y Zhang, W Zhang, P Liao, K Li, J Zhou, G Wang Biomedical optics express 8 (2), 679-694, 2017 | 712 | 2017 |
| Low-dose X-ray CT reconstruction via dictionary learning Q Xu, H Yu, X Mou, L Zhang, J Hsieh, G Wang IEEE Transactions on Medical Imaging 31 (9), 1682-1697, 2012 | 683 | 2012 |
| Compressed sensing based interior tomography H Yu, G Wang Physics in medicine & biology 54 (9), 2791, 2009 | 670 | 2009 |
| A general cone-beam reconstruction algorithm G Wang, TH Lin, P Cheng, DM Shinozaki IEEE Transactions on Medical Imaging 12 (3), 486-496, 1993 | 546 | 1993 |
| Iterative deblurring for CT metal artifact reduction G Wang, DL Snyder, JA O'Sullivan, MW Vannier IEEE transactions on medical imaging 15 (5), 657-664, 1996 | 518 | 1996 |
| A perspective on deep imaging G Wang IEEE Access 4, 8914-8924, 2016 | 495 | 2016 |
| Image Reconstruction Is a New Frontier of Machine Learning G Wang, JC Ye, K Mueller, JA Fessler IEEE transactions on medical imaging 37 (6), 1289-1296, 2018 | 433 | 2018 |
| 3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network H Shan, Y Zhang, Q Yang, U Kruger, MK Kalra, L Sun, W Cong, G Wang IEEE transactions on medical imaging 37 (6), 1522-1534, 2018 | 418 | 2018 |
| CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE) C You, G Li, Y Zhang, X Zhang, H Shan, M Li, S Ju, Z Zhao, Z Zhang, ... IEEE transactions on medical imaging 39 (1), 188-203, 2019 | 414 | 2019 |
| An outlook on x‐ray CT research and development G Wang, H Yu, B De Man Medical physics 35 (3), 1051-1064, 2008 | 399 | 2008 |
| Standard handbook of biomedical engineering & design M Kutz McGraw-Hill Education, 2003 | 387 | 2003 |
| Uniqueness theorems in bioluminescence tomography G Wang, Y Li, M Jiang Medical physics 31 (8), 2289-2299, 2004 | 366 | 2004 |
| Practical reconstruction method for bioluminescence tomography W Cong, G Wang, D Kumar, Y Liu, M Jiang, LV Wang, EA Hoffman, ... Optics Express 13 (18), 6756-6771, 2005 | 357 | 2005 |
| Convergence studies on iterative algorithms for image reconstruction M Jiang, G Wang IEEE Transactions on Medical Imaging 22 (5), 569-579, 2003 | 343 | 2003 |
| LEARN: Learned experts’ assessment-based reconstruction network for sparse-data CT H Chen, Y Zhang, Y Chen, J Zhang, W Zhang, H Sun, Y Lv, P Liao, J Zhou, ... IEEE transactions on medical imaging 37 (6), 1333-1347, 2018 | 339 | 2018 |
| Convergence of the simultaneous algebraic reconstruction technique (SART) M Jiang, G Wang Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth …, 2001 | 338 | 2001 |
| Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT CH McCollough, GH Chen, W Kalender, S Leng, E Samei, K Taguchi, ... Radiology 264 (2), 567-580, 2012 | 322 | 2012 |
| X-ray CT metal artifact reduction using wavelets: an application for imaging total hip prostheses S Zhao, DD Robeltson, G Wang, B Whiting, KT Bae IEEE transactions on medical imaging 19 (12), 1238-1247, 2000 | 316 | 2000 |
Wenxiang CongRensselaer Polytechnic InstituteVerified email at rpi.edu
