| 2025 | EMNLP | Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions. | Yue Qiu, Yujan Ting, Pei Dong, Terrence Chen, Weijing Huang |
| 2024 | MICCAI | Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations. | Yao Wang, Jiahao Chen, Wenjian Huang, Pei Dong, Zhen Qian |
| 2024 | MMM | SM-GAN: Single-Stage and Multi-object Text Guided Image Editing. | Ruichen Li, Lei Wu, Pei Dong, Minggang He |
| 2024 | PG | SLGDiffuser : Stroke-level Guidance Diffusion Model for Complex Scene Text Editing. | Xiaole Liu, Lei Wu, Changshuo Wang, Pei Dong, Xiangxu Meng |
| 2023 | MICCAI | CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. | Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen |
| 2022 | CVPR | Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. | Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han |
| 2022 | MICCAI | Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. | Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang |
| 2020 | MICCAI | Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. | Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han |
| 2020 | MICCAI | Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. | Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han |
| 2018 | MICCAI | Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage. | Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen |
| 2017 | MICCAI | Efficient Groupwise Registration for Brain MRI by Fast Initialization. | Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. | Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu |
| 2016 | MICCAI | Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. | Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen |
| 2015 | MICCAI | Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. | Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu |
| 2013 | ICCV | SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition. | Qiegen Liu, Jianbo Liu, Pei Dong, Dong Liang |
| 2011 | ICIP | Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. | Pei Dong, Yong Xia, Li Zhuo, David Dagan Feng |