详情参见：[Google Scholar]， *通讯作者,  #共同一作 

期刊论文

[12] Yongbo Wang, Zerui Mao, Qing Xiao, Shipeng Wang, Dong Zeng, Jianhua Ma, Lin Xie. A unified framework for sparse-view CT reconstruction viaback-projection tensor interpolation. Pattern Recognition, 2026: 114541.

[11] Yi Guo, Zeying Chen, Siman Huang, Yujian Zhang, Zihao Wen, Dong Zeng, Zhaoying Bian*, Yongbo Wang*. s-MAR: Spectral Prior Enhanced Consistency Network for CT metal artifact reduction[J]. Pattern Recognition, 2026: 114781. 

[10] Yi Guo, Shipeng Wang, Zeying Chen, Zhaoying Bian, Dong Zeng, Jianhua Ma*, Yongbo Wang*. Tomo-Net: A Physics-Inspired Dual Regression Network for Nonlinear Tomographic Imaging. IEEE Transactions on Neural Networks and Learning Systems, 2026. 

[9] Manman Zhu, Zidan Wang, Chen Wang, Cuidie Zeng, Dong Zeng, Jianhua Ma*, Yongbo Wang*. VAVT-Net: VOI-Attention VVBP-Tensor Network for High-Attenuation Artifact Suppression in Digital Breast Tomosynthesis Imaging, IEEE Transactions on Medical Imaging, vol. 44, no. 4, pp. 1953 - 1968, April 2025.

[8] Xing Li, Kaili Jing, Yan Yang*, Yongbo Wang*, Jianhua Ma, Hairong Zheng and Zongben Xu. Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrcution, IEEE Transactions on Medical Imaging, vol. 43, no. 5, pp. 1677-1689, May 2024.

[7] Mingqiang Meng#, Yongbo Wang#, Manman Zhu, Xi Tao, Zerui Mao, Jingyi Liao,Zhaoying Bian, Dong Zeng, and Jianhua Ma. DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation, IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 6, pp. 3613-3625, June 2024.

[6] Yuyan Song, Tianyi Yao, Shengwang Peng, Manman Zhu, Mingqiang Meng, Jianhua Ma, Dong Zeng, Jing Huang, Zhaoying Bian*, and Yongbo Wang*. b-MAR: Bidirectional Artifact Representations Learning Framework for Metal Artifact Reduction in Dental CBCT. Physics in Medicine and Biology, 2024. 

[5] Bingxi He#, Caixia Sun#, Hailin Li#, Yongbo Wang#, Yunlang She, Mengmeng Zhao, Mengjie Fang, Yongbei Zhu, Kun Wang, Zhenyu Liu, Z iqi Wei, Wei Mu, Shuo Wang, Zhenchao Tang, Jingwei Wei, Lizhi Shao, Lixia Tong, Feng Huang, Yu Guo, Huimao Zhang, Mingze Tang, Di Dong*, Chang Chen*, Jianhua Ma* and Jie Tian*. Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction. Physics in Medicine & Biology, 2024, 69(7): 075015.

[4] Manman Zhu, Qisen Zhu, Yuyan Song, Yi Guo, Dong Zeng, Zhaoying Bian, Yongbo Wang*,and Jianhua Ma*. Physics-Informed Sinogram Completion for Metal Artifact Reduction in CT Imaging, Physics in Medicine & Biology, 2023, 63(6): 065006.

[3] Xi Tao#, Yongbo Wang#, Liyan Lin, Zixuan Hong, and Jianhua Ma. Learning to Reconstruct CT Images from the VVBP-Tensor, IEEE Transactions on Medical Imaging, 2021, 40(11): 3030-3041.

[2] Ji He, Yongbo Wang, and Jianhua Ma. Radon Inversion via Deep Learning, IEEE Transactions on Medical Imaging, 2020, 39(6): 2076-2087.

[1] Yongbo Wang, Yuting Liao, Yuanke Zhang, Ji He, Sui Li, Zhaoying Bian, Hao Zhang, Yuanyuan Gao, Deyu Meng, Wangmeng Zuo, Dong Zeng, and Jianhua Ma. Iterative Quality Enhancement via Residual-Artifacts Learning Networks for Low-Dose CT, Physics in Medicine & Biology, 2018, 63(21): 215004.

授权专利

    [4] 马建华，郭义，王永波，边兆英，曾栋：一种基于物理对偶回归学习的CT金属伪影校正方法, 2025-12-02, 中国, ZL 2024 1 1145658.1 

    [3] 马建华，蒙铭强，王永波，边兆英，一种基于深度学习的CT全链条智能重建方法, 2025-12-02, 中国, ZL 2024 1 1206250.0 

    [2] 马建华，王永波，曾栋，何基，边兆英，黄静，一种数字层析成像系统的图像伪影去除方法, 2020-12-15, 中国, ZL201710767445.6 

    [1] 边兆英，毛泽睿，王永波，马建华，一种基于可微螺旋重建算子的稀疏螺旋CT图像重建方法, 2025-11-28, 中国, ZL 2024 1 1222640.7