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 | 185 | 2018 |
Radon inversion via deep learning J He, Y Wang, J Ma IEEE transactions on medical imaging 39 (6), 2076-2087, 2020 | 163 | 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 | 47 | 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 | 31 | 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 | 24 | 2018 |
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 | 22 | 2021 |
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 | 21 | 2022 |
Pseudo dual energy CT imaging using deep learning based framework: initial study S Li, Y Wang, Y Liao, J He, D Zeng, Z Bian, J Ma arXiv preprint arXiv:1711.07118, 2017 | 17 | 2017 |
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 | 12 | 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 | 11 | 2016 |
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 | 10 | 2018 |
Radon inversion via deep learning J He, J Ma Medical Imaging 2019: Physics of Medical Imaging 10948, 244-249, 2019 | 8 | 2019 |
投影数据校正对数字乳腺层析成像质量的影响 张忻宇, 张华, 边兆英, 曾栋, 何基, 田秀梅, 马建华, 黄静 Journal of Southern Medical University 37 (3), 323, 2017 | 7 | 2017 |
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 |
Automated measurement of spine indices on axial MR images for lumbar spinal stenosis diagnosis using segmentation‐guided regression network C Pang, Z Su, L Lin, G Lin, J He, H Lu, Q Feng, S Pang Medical Physics 50 (1), 104-116, 2023 | 6 | 2023 |
Cross-Domain Unpaired Learning for Low-Dose CT Imaging Y Liu, G Chen, S Pang, D Zeng, Y Ding, G Xie, J Ma, J He IEEE Journal of Biomedical and Health Informatics 27 (11), 5471-5482, 2023 | 5 | 2023 |
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 | 5 | 2021 |
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 |
基于运动补偿的压缩感知 4D-CBCT 优质重建 杨轩, 张华, 何基, 曾栋, 张忻宇, 边兆英, 张敬, 马建华 南方医科大学学报 36 (7), 969-973, 2016 | 4 | 2016 |
Dual-domain modulation for high-performance multi-geometry low-dose CT image reconstruction S Chen, J He, D Li, D Zeng, Z Bian, J Ma Medical Imaging 2023: Physics of Medical Imaging, 1246338, 2023 | 3 | 2023 |