| 2022 | MICCAI | A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction. | Wenjun Xia, Ziyuan Yang, Qizheng Zhou, Zexin Lu, Zhongxian Wang, Yi Zhang |
| 2021 | MICCAI | Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction. | Tao Wang, Wenjun Xia, Yongqiang Huang, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang |
| 2021 | MICCAI | One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline. | Zhiwen Wang, Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang |
| 2020 | MICCAI | Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. | Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Jiliu Zhou, Leyuan Fang, Yi Zhang |
| 2012 | ISCAS | Self-adaptive quasi-Gaussian circuits for analog on-chip-trainable multi-class classifiers. | Wenjun Xia, Tadashi Shibata |
| 2011 | IJCCI | Critical Boundary Vector Concept in Nearest Neighbor Classifiers using k-Means Centers for Efficient Template Reduction. | Wenjun Xia, Tadashi Shibata |