Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. - Rui Xu 002; Xiao Cao; Yufeng Wang; Yen-Wei Chen 001; Xinchen Ye; Lin Lin 008; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Hongjie Hu; Shoji Kido; et al. (ICPR, 2020)

Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. - Titinunt Kitrungrotsakul; Qingqing Chen 001; Huitao Wu; Yutaro Iwamoto; Hongjie Hu; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Lanfen Lin; Ruofeng Tong 001; Jingsong Li 001; et al. (IEEE J. Biomed. Health Informatics, 2021)

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. - Rui Xu 002; Yufeng Wang; Xinchen Ye; Pengcheng Wu; Yen-Wei Chen 001; Fangyi Xu; Wenchao Zhu; Chao Chen; Yong Zhou; Hongjie Hu; Xiaofeng Qu; Shoji Kido; et al. (ICASSP, 2022)

A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19. - Titinunt Kitrungrotsakul; Qingqing Chen 001; Huitao Wu; Preeyanuch Srichola; Hongjie Hu; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Lanfen Lin; Ruofeng Tong 001; Jingsong Li 001; et al. (Computer-Aided Diagnosis, 2023)

Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment method. - Long Chen; Yingying Xu; Fangyi Xu; Qian Hu; Zhenzhou Tang (Appl. Intell., 2023)

Energy-saving access point configurations in WLANs: a swarm intelligent approach. - Long Chen; Fangyi Xu; Kezhong Jin; Zhenzhou Tang (J. Supercomput., 2023)

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images. - Rui Xu 002; Dan Yu; Xuan Yang; Xinchen Ye; Zhihui Wang 001; Yi Wang 037; Hongkai Wang; Haojie Li; Dingpin Huang; Fangyi Xu; Yi Gan; Yuan Tu; et al. (MICCAI (4), 2024)

Core-View Contrastive Learning Network for Building Lightweight Cross-Domain Consultation System. - Jiabin Zheng; Fangyi Xu; Wei Chen 056; Zihao Fang; Jiahui Yao (IEEE Access, 2024)

2.5D Top-K Ranked Multiple Instance Learning to Classify NSCLC PD-L1 Status on CT Images. - Rui Xu; Huadong Liu; Yongcen Li; Xinchen Ye; Zhihui Wang; Hongkai Wang; Haojie Li; Yi Wang 037; Dingpin Huang; Fangyi Xu; Yi Gan; Yuan Tu; et al. (ICASSP, 2025)

Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation. - Rongjun Ge; Chong Wang; Yuxin Liu; Chunqiang Lu; Cong Xia; Yehui Jiang; Fangyi Xu; Yinsu Zhu; Daoqiang Zhang; Chengyu Liu; Yang Chen; Shuo Li; et al. (Neural Networks, 2025)

An integrated strategy based on radiomics and quantum machine learning: diagnosis and clinical interpretation of pulmonary ground-glass nodules. - Xianzhi Huang; Fangyi Xu; Wenchao Zhu; Lin Yao; Jiahuan He; Junhao Su; Wending Zhao; Hongjie Hu (BMC Medical Imaging, 2025)