| 2025 | AAAI | Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection. | Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li |
| 2025 | MICCAI | Personalized Federated Side-Tuning for Medical Image Classification. | Jiayi Chen, Benteng Ma, Yongsheng Pan, Bin Pu, Hengfei Cui, Yong Xia |
| 2024 | CVPR | Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. | Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia |
| 2024 | MICCAI | FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation. | Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia |
| 2024 | MICCAI | Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning. | Yuexuan Xia, Benteng Ma, Qi Dou, Yong Xia |
| 2022 | CVPR | FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. | Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao |
| 2020 | MICCAI | α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation. | Yaxin Chen, Benteng Ma, Yong Xia |
| 2017 | ICNC | A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging. | Benteng Ma, Yong Xia |