Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer. - Shou Wang; Xi Chen 102; Zhenyu Liu; Qingxia Wu; Yongbei Zhu; Meiyun Wang; Jie Tian 001 (Computer-Aided Diagnosis, 2019)

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 001 (EMBC, 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 001 (IEEE Trans. Biomed. Eng., 2021)

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 (MLMI@MICCAI, 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; et al. (BMC Medical Imaging, 2022)

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 (MLMI@MICCAI (2), 2023)

A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. - Zhe Li 028; Shuo Wang; He Yu; Yongbei Zhu; Qingxia Wu; Liusu Wang; Zhangjie Wu; Yuncui Gan; Weimin Li 003; Bensheng Qiu; Jie Tian 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

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, 2024)

Novel nonparametric control charts for monitoring dispersion of count data. - Zhiqiong Wang; Qingxia Wu; Peihua Qiu (Qual. Reliab. Eng. Int., 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, 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, 2024)