| DRONE: Dual-domain residual-based optimization network for sparse-view CT reconstruction W Wu, D Hu, C Niu, H Yu, V Vardhanabhuti, G Wang IEEE Transactions on Medical Imaging 40 (11), 3002-3014, 2021 | 139 | 2021 |
| 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 | 132 | 2018 |
| Limited-Angle X-Ray CT Reconstruction Using Image Gradient ℓ₀-Norm With Dictionary Learning M Xu, D Hu, F Luo, F Liu, S Wang, W Wu IEEE Transactions on Radiation and Plasma Medical Sciences 5 (1), 78-87, 2020 | 68 | 2020 |
| A high-quality photon-counting CT technique based on weight adaptive total-variation and image-spectral tensor factorization for small animals imaging W Wu, D Hu, K An, S Wang, F Luo IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2020 | 67 | 2020 |
| Artificial intelligence in image reconstruction: the change is here R Singh, W Wu, G Wang, MK Kalra Physica Medica 79, 113-125, 2020 | 65 | 2020 |
| 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, 2019 | 65 | 2019 |
| Stabilizing deep tomographic reconstruction W Wu, D Hu, W Cong, H Shan, S Wang, C Niu, P Yan, H Yu, ... arXiv preprint arXiv:2008.01846, 2020 | 59* | 2020 |
| Deep iterative reconstruction estimation (DIRE): approximate iterative reconstruction estimation for low dose CT imaging J Liu, Y Zhang, Q Zhao, T Lv, W Wu, N Cai, G Quan, W Yang, Y Chen, ... Physics in Medicine & Biology 64 (13), 135007, 2019 | 47 | 2019 |
| Multi-domain Integrative Swin Transformer network for Sparse-View Tomographic Reconstruction J Pan, H Zhang, W Wu, Z Gao, W Wu Patterns, 2022 | 46 | 2022 |
| Deep Learning based Spectral CT Imaging W Wu, D Hu, LV Broeke, APH Butler, P Cao, J Atlas, A Chernoglazov, ... Neural Networks, 2021 | 43 | 2021 |
| Deep embedding-attention-refinement for sparse-view CT reconstruction W Wu, X Guo, Y Chen, S Wang, J Chen IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2022 | 42 | 2022 |
| 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 | 41 | 2019 |
| Noise suppression with similarity-based self-supervised deep learning C Niu, M Li, F Fan, W Wu, X Guo, Q Lyu, G Wang IEEE Transactions on Medical Imaging, 2022 | 40 | 2022 |
| Spectral CT reconstruction—ASSIST: Aided by self-similarity in image-spectral tensors W Xia, W Wu, S Niu, F Liu, J Zhou, H Yu, G Wang, Y Zhang IEEE Transactions on Computational Imaging 5 (3), 420-436, 2019 | 40 | 2019 |
| Image-domain material decomposition for spectral CT using a generalized dictionary learning W Wu, P Chen, S Wang, V Vardhanabhuti, F Liu, H Yu IEEE transactions on radiation and plasma medical sciences 5 (4), 537-547, 2020 | 35 | 2020 |
| Improved material decomposition with a two-step regularization for spectral CT W Wu, P Chen, VV Vardhanabhuti, W Wu, H Yu Ieee Access 7, 158770-158781, 2019 | 34 | 2019 |
| 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 | 33 | 2018 |
| Low-dose spectral CT reconstruction based on image-gradient L0-norm and adaptive spectral PICCS S Wang, W Wu, J Feng, F Liu, H Yu Physics in Medicine & Biology 65 (24), 245005, 2020 | 32 | 2020 |
| Spectral-image decomposition with energy-fusion sensing for spectral CT reconstruction S Wang, H Yu, Y Xi, C Gong, W Wu, F Liu IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 29 | 2021 |
| Deep learning-based digital subtraction angiography image generation Y Gao, Y Song, X Yin, W Wu, L Zhang, Y Chen, W Shi International Journal of Computer Assisted Radiology and Surgery 14, 1775-1784, 2019 | 26 | 2019 |
Hengyong YuIEEE Fellow, University of Massachusetts Lowell在 uml.edu 的电子邮件经过验证
