| Optimizing a parameterized plug-and-play ADMM for iterative low-dose CT reconstruction J He, Y Yang, Y Wang, D Zeng, Z Bian, H Zhang, J Sun, Z Xu, J Ma IEEE transactions on medical imaging 38 (2), 371-382, 2018 | 121 | 2018 |
| Radon inversion via deep learning J He, Y Wang, J Ma IEEE transactions on medical imaging 39 (6), 2076-2087, 2020 | 91 | 2020 |
| Iterative quality enhancement via residual-artifact learning networks for low-dose CT Y Wang, Y Liao, Y Zhang, J He, S Li, Z Bian, H Zhang, Y Gao, D Meng, ... Physics in Medicine & Biology 63 (21), 215004, 2018 | 41 | 2018 |
| Pseudo dual energy CT imaging using deep learning-based framework: basic material estimation Y Liao, Y Wang, S Li, J He, D Zeng, Z Bian, J Ma Medical Imaging 2018: Physics of Medical Imaging 10573, 1190-1194, 2018 | 25 | 2018 |
| Noise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction D Li, Z Bian, S Li, J He, D Zeng, J Ma IEEE Transactions on Medical Imaging 41 (12), 3849-3861, 2022 | 10 | 2022 |
| LdCT-Net: low-dose CT image reconstruction strategy driven by a deep dual network J He, Y Wang, Y Yang, Z Bian, D Zeng, J Sun, Z Xu, J Ma Medical Imaging 2018: Physics of Medical Imaging 10573, 891-896, 2018 | 10 | 2018 |
| Promote quantitative ischemia imaging via myocardial perfusion CT iterative reconstruction with tensor total generalized variation regularization C Gu, D Zeng, J Lin, S Li, J He, H Zhang, Z Bian, S Niu, Z Zhang, J Huang, ... Physics in Medicine & Biology 63 (12), 125009, 2018 | 9 | 2018 |
| Blind CT image quality assessment via deep learning strategy: initial study S Li, J He, Y Wang, Y Liao, D Zeng, Z Bian, J Ma Medical Imaging 2018: Image Perception, Observer Performance, and Technology …, 2018 | 9 | 2018 |
| Robust low-dose dynamic cerebral perfusion CT image restoration via coupled dictionary learning scheme X Tian, D Zeng, S Zhang, J Huang, H Zhang, J He, L Lu, W Xi, J Ma, ... Journal of X-Ray Science and Technology 24 (6), 837-853, 2016 | 9 | 2016 |
| Texture-preserved low-dose CT reconstruction using region recognizable patch-priors from previous normal-dose CT images X Jia, Z Bian, J He, Y Wang, J Huang, D Zeng, Z Liang, J Ma 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room …, 2016 | 7 | 2016 |
| Downsampled imaging geometric modeling for accurate ct reconstruction via deep learning J He, S Chen, H Zhang, X Tao, W Lin, S Zhang, D Zeng, J Ma IEEE Transactions on Medical Imaging 40 (11), 2976-2985, 2021 | 6 | 2021 |
| Radon inversion via deep learning J He, J Ma Medical Imaging 2019: Physics of Medical Imaging 10948, 244-249, 2019 | 6 | 2019 |
| Iterative image reconstruction for multienergy computed tomography via structure tensor total variation regularization D Zeng, Z Bian, C Gong, J Huang, J He, H Zhang, L Lu, Q Feng, Z Liang, ... Medical Imaging 2016: Physics of Medical Imaging 9783, 1140-1148, 2016 | 5 | 2016 |
| Helical CT Reconstruction From Sparse-View Data Through Exploiting the 3D Anatomical Structure Sparsity Y Wang, G Chen, T Xi, Z Bian, D Zeng, H Zaidi, J He, J Ma IEEE Access 9, 15200-15211, 2021 | 4 | 2021 |
| Statistical CT reconstruction using region-aware texture preserving regularization learning from prior normal-dose CT image X Jia, Y Liao, D Zeng, H Zhang, Y Zhang, J He, Z Bian, Y Wang, X Tao, ... Physics in Medicine & Biology 63 (22), 225020, 2018 | 3 | 2018 |
| Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with weak radiation: a preliminary study Y Zhang, D Zeng, S Li, Y Liao, Z Bian, Y Wang, J He, X Jia, Y Xing, ... 15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019 | 2 | 2019 |
Jianhua MaSouthern Medical UniversityVerified email at smu.edu.cn
