DUALWISE-MAR: Dual-domain Multi-view Weakly supervised Segmentation Network for CBCT Metal Artifact Reduction. - Xinyun Zhong; Zhan Wu; Yang Yang; Tianling Lyu; Wenxue Yu; Yan Xi; Yang Chen (BIBM, 2023)

Deep Dual-Domain United Guiding Learning With Global-Local Transformer-Convolution U-Net for LDCT Reconstruction. - Zhan Wu; Xinyun Zhong; Tianling Lyv; Dayang Wang; Ruifeng Chen; Xu Yan; Gouenou Coatrieux; Xu Ji; Hengyong Yu; Yang Chen 008; Xiaoli Mai (IEEE Trans. Instrum. Meas., 2023)

NEAT-Net: An Unsupervised Cross-View Prior Inpainting Network for CBCT Metal Artifact Reduction. - Yang Yang; Zhan Tong; Xinyun Zhong; Yijie Shi; Yan Xi; Wenxue Yu; Zhan Wu; Yang Chen 008 (EMBC, 2024)

Dual-Source CBCT for Larger Longitudinal Coverage: System Design and Image Reconstruction. - Xusheng Zhang; Tianling Lyu; Yijie Shi; Xinyun Zhong; Zhan Wu; Yan Xi; Shijie Wang; Yang Chen 008; Wentao Zhu (EMBC, 2024)

Intra-Guided Dual-Energy Material Decomposition Method for Dual-Source CBCT Systems. - Xinyun Zhong; Tianling Lyu; Zhan Wu; Wei Gao; Yan Xi; Wei Zhao 029; Wentao Zhu; Yang Chen 008 (EMBC, 2024)

PRAISE-Net: Deep Projection-Domain Data-Consistent Learning Network for CBCT Metal Artifact Reduction. - Zhan Wu; Xinyun Zhong; Tianling Lyu; Yan Xi; Xu Ji; Yi Zhang 018; Shipeng Xie; Hengyong Yu; Yang Chen 008 (IEEE Trans. Instrum. Meas., 2025)