Fangyi Xu

According to our database, Fangyi Xu authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, December, 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, Yuting He

Neural Networks, 2025

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, Dingpin Huang, Fangyi Xu, Yi Gan, Yuan Tu, Hongjie Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Core-View Contrastive Learning Network for Building Lightweight Cross-Domain Consultation System.

Jiabin Zheng, Fangyi Xu, Wei Chen, Zihao Fang, Jiahui Yao

IEEE Access, 2024

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images.

Rui Xu, Dan Yu, Xuan Yang, Xinchen Ye, Zhihui Wang, Yi Wang, Hongkai Wang, Haojie Li, Dingpin Huang, Fangyi Xu, Yi Gan, Yuan Tu, Hongjie Hu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Energy-saving access point configurations in WLANs: a swarm intelligent approach.

Long Chen, Fangyi Xu, Kezhong Jin, Zhenzhou Tang

J. Supercomput., November, 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., April, 2023

A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19.

Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Preeyanuch Srichola, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions.

Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.

Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Yutaro Iwamoto, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen

IEEE J. Biomed. Health Informatics, 2021

2020

Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images.

Rui Xu, Xiao Cao, Yufeng Wang, Yen-Wei Chen, Xinchen Ye, Lin Lin, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Hongjie Hu, Shoji Kido, Noriyuki Tomiyama

Proceedings of the 25th International Conference on Pattern Recognition, 2020