| 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 | 1565 | 2018 |
| Convolutional Neural Network Based Metal Artifact Reduction in X-ray Computed Tomography Y Zhang, H Yu IEEE Transactions on Medical Imaging 37 (6), 1370-1381, 2018 | 493 | 2018 |
| Tensor-based Dictionary Learning for Spectral CT Reconstruction Y Zhang, X Mou, G Wang, H Yu IEEE Transactions on Medical Imaging 36 (1), 142-154, 2017 | 207 | 2017 |
| Tensor-based dictionary learning for spectral CT reconstruction Y Zhang, X Mou, Q Xu, G Wang The 13th International Meeting on Fully Three-dimensional Image …, 2015 | 207 | 2015 |
| Low-dose spectral CT reconstruction using image gradient ℓ0–norm and tensor dictionary W Wu, Y Zhang, Q Wang, F Liu, P Chen, H Yu Applied Mathematical Modelling 63, 538-557, 2018 | 147 | 2018 |
| A hybrid metal artifact reduction algorithm for x-ray CT Y Zhang, H Yan, X Jia, J Yang, SB Jiang, X Mou Medical physics 40, 041910, 2013 | 94 | 2013 |
| MommiNet-v2: Mammographic multi-view mass identification networks Z Yang, Z Cao, Y Zhang, Y Tang, X Lin, R Ouyang, M Wu, M Han, J Xiao, ... Medical Image Analysis 73, 102204, 2021 | 83 | 2021 |
| Non-local low-rank cube-based tensor factorization for spectral CT reconstruction W Wu, F Liu, Y Zhang, Q Wang, H Yu IEEE transactions on medical imaging 38 (4), 1079-1093, 2018 | 74 | 2018 |
| Tensor-based dictionary learning for dynamic tomographic reconstruction S Tan, Y Zhang, G Wang, X Mou, G Cao, Z Wu, H Yu Physics in Medicine & Biology 60 (7), 2803–2818, 2015 | 65 | 2015 |
| SISTER: Spectral-image similarity-based tensor with enhanced-sparsity reconstruction for sparse-view multi-energy CT D Hu, W Wu, M Xu, Y Zhang, J Liu, RJ Ge, Y Chen, L Luo, G Coatrieux IEEE Transactions on Computational Imaging 6, 477-490, 2019 | 50 | 2019 |
| Data consistency condition–based beam-hardening correction S Tang, X Mou, Q Xu, Y Zhang, J Bennett, H Yu Optical Engineering 50 (7), 076501-076501-13, 2011 | 37 | 2011 |
| Spatial-spectral cube matching frame for spectral CT reconstruction W Wu, Y Zhang, Q Wang, F Liu, F Luo, H Yu inverse problems 34 (10), 104003, 2018 | 36 | 2018 |
| Dictionary learning based image-domain material decomposition for spectral CT W Wu, H Yu, P Chen, F Luo, F Liu, Q Wang, Y Zhu, Y Zhang, J Feng, H Yu Physics in Medicine & Biology 65 (24), 245006, 2020 | 27 | 2020 |
| An adaptive reconstruction algorithm for spectral CT regularized by a reference image M Wang, Y Zhang, R Liu, S Guo, H Yu Physics in Medicine & Biology 61, 8699-8719, 2016 | 26 | 2016 |
| Tensor decomposition and non-local means based spectral CT image denoising Y Zhang, M Salehjahromi, H Yu Journal of X-ray Science and Technology 27 (3), 397-416, 2019 | 25 | 2019 |
| Deeplima: Deep learning based lesion identification in mammograms Z Cao, Z Yang, X Zhuo, RS Lin, S Wu, L Huang, M Han, Y Zhang, J Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 22 | 2019 |
| Beam hardening correction for fan-beam CT imaging with multiple materials Y Zhang, X Mou, S Tang IEEE Nuclear Science Symposuim & Medical Imaging Conference, 3566-3570, 2010 | 22 | 2010 |
| Weighted total variation constrained reconstruction for reduction of metal artifact in CT Y Zhang, X Mou, H Yan IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2630-2634, 2010 | 21 | 2010 |
| Reduction of metal artifacts in x-ray CT images using a convolutional neural network Y Zhang, Y Chu, H Yu Developments in X-Ray Tomography XI 10391, 136-146, 2017 | 20 | 2017 |
| Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization Y Shi, Y Gao, Y Zhang, J Sun, X Mou, Z Liang IEEE transactions on medical imaging 39 (10), 2996-3007, 2020 | 16 | 2020 |
Hengyong Yu, FIEEE, FAAPM, FAIMBEUniversity of Massachusetts LowellVerified email at uml.edu
