Qingxia Wu

According to our database, Qingxia Wu authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A hierarchical prompt and prototype learning framework for brain disorder classification.

Yuxiao Liu, Kaicong Sun, Yaping Wu, Xin Lin, Yan Bai, Long Yang, Weilin Zhou, Haoyue Yuan, Xintong Wu, Yichu He, Qingxia Wu, Zeng-Yang Che, Yiqiang Zhan, Sean Zhou, Dijia Wu, Feng Shi, Meiyun Wang, Dinggang Shen

Medical Image Anal., 2026

JSDU-Net: Joint sensitivity-learning driven deep unfolding network for accelerated radial MRI reconstruction.

Biao Qu, Huajun She, Qingxia Wu, Pingping Jie, Qi Yao, Liulu Zhang, Yuting Fu, Yamei Luo, Taishan Kang, Gaofeng Zheng

Expert Syst. Appl., 2026

2025

IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework.

Xuan Yu, Yaping Wu, Yan Bai, Nan Meng, Shuting Jin, Qingxia Wu, Lijuan Chen, Ningli Wang, Xiaosheng Song, Guofeng Shen, Meiyun Wang

CAAI Trans. Intell. Technol., 2025

RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding.

Minhui Tan, Qingxia Wu, Boyang Zhang, Genqiang Ren, Jianlong Nie, Zhong Xue, Xiaohuan Cao, Dinggang Shen

Proceedings of the Foundation Models for General Medical AI - Third International Workshop, 2025

2024

Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer.

Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang

BMC Medical Imaging, December, 2024

Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer.

Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang

BMC Medical Imaging, December, 2024

Novel nonparametric control charts for monitoring dispersion of count data.

Zhiqiong Wang, Qingxia Wu, Peihua Qiu

Qual. Reliab. Eng. Int., June, 2024

Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.

Biao Qu, Jialue Zhang, Taishan Kang, Jianzhong Lin, Meijin Lin, Huajun She, Qingxia Wu, Meiyun Wang, Gaofeng Zheng

Comput. Biol. Medicine, January, 2024

2023

A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer.

Zhe Li, Shuo Wang, He Yu, Yongbei Zhu, Qingxia Wu, Liusu Wang, Zhangjie Wu, Yuncui Gan, Weimin Li, Bensheng Qiu, Jie Tian

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.

Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status.

Huanhuan Wei, Zehua Shao, Jianqing Tai, Fangfang Fu, Chuanjian Lv, Zhiping Guo, Yaping Wu, Lijuan Chen, Yan Bai, Qingxia Wu, Xuan Yu, Xinling Mu, Fengmin Shao, Meiyun Wang

BMC Medical Imaging, 2022

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

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

Mix Contrast for COVID-19 Mild-to-Critical Prediction.

Yongbei Zhu, Shuo Wang, Siwen Wang, Qingxia Wu, Liusu Wang, Hongjun Li, Meiyun Wang, Meng Niu, Yunfei Zha, Jie Tian

IEEE Trans. Biomed. Eng., 2021

A generative adversarial network-based CT image standardization model for predicting progression-free survival of lung cancer.

Qingxia Wu, Wenhui Huang, Shuo Wang, He Yu, Liushu Wang, Zhangjie Wu, Yongbei Zhu, Zhenyu Liu, He Ma, Jie Tian

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer.

Shou Wang, Xi Chen, Zhenyu Liu, Qingxia Wu, Yongbei Zhu, Meiyun Wang, Jie Tian

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019