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2020 – today
- 2024
[j7]Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang:
Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer. BMC Medical Imaging 24(1): 28 (2024)- [j6]Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang:
Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer. BMC Medical Imaging 24(1): 28 (2024) - [j5]Biao Qu, Jialue Zhang, Taishan Kang
, Jianzhong Lin, Meijin Lin, Huajun She, Qingxia Wu, Meiyun Wang, Gaofeng Zheng:
Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network. Comput. Biol. Medicine 168: 107707 (2024) - [j4]Zhiqiong Wang, Qingxia Wu, Peihua Qiu:
Novel nonparametric control charts for monitoring dispersion of count data. Qual. Reliab. Eng. Int. 40(4): 1636-1651 (2024) - 2023
- [j3]Zhe Li, Shuo Wang, He Yu, Yongbei Zhu, Qingxia Wu, Liusu Wang, Zhangjie Wu, Yuncui Gan, Weimin Li, Bensheng Qiu, Jie Tian:
A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 330-341 (2023) - [c4]Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue:
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) 2023: 74-83 - 2022
- [j2]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:
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status. BMC Medical Imaging 22(1): 209 (2022) - [c3]Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang:
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI 2022: 131-139 - 2021
- [j1]Yongbei Zhu, Shuo Wang, Siwen Wang, Qingxia Wu, Liusu Wang, Hongjun Li, Meiyun Wang, Meng Niu, Yunfei Zha, Jie Tian:
Mix Contrast for COVID-19 Mild-to-Critical Prediction. IEEE Trans. Biomed. Eng. 68(12): 3725-3736 (2021) - [c2]Qingxia Wu, Wenhui Huang, Shuo Wang, He Yu, Liushu Wang, Zhangjie Wu, Yongbei Zhu, Zhenyu Liu, He Ma, Jie Tian:
A generative adversarial network-based CT image standardization model for predicting progression-free survival of lung cancer. EMBC 2021: 3411-3414
2010 – 2019
- 2019
- [c1]Shou Wang, Xi Chen, Zhenyu Liu, Qingxia Wu, Yongbei Zhu, Meiyun Wang, Jie Tian:
Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer. Medical Imaging: Computer-Aided Diagnosis 2019: 1095040
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