Ying Wei

According to our database, Ying Wei authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity.

Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen

IEEE Trans. Medical Imaging, February, 2023

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.

Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation.

Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

IEEE Trans. Medical Imaging, 2022

Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images.

Feng Shi, Bojiang Chen, Qiqi Cao, Ying Wei, Qing Zhou, Rui Zhang, Yaojie Zhou, Wenjie Yang, Xiang Wang, Rongrong Fan, Fan Yang, Yanbo Chen, Weimin Li, Yaozong Gao, Dinggang Shen

IEEE Trans. Medical Imaging, 2022

2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.

Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen

Medical Image Anal., 2021

Hypergraph learning for identification of COVID-19 with CT imaging.

Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen

Medical Image Anal., 2021

Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features.

Junbang Feng, Yi Guo, Shike Wang, Feng Shi, Ying Wei, Yichu He, Ping Zeng, Jun Liu, Wenjing Wang, Liping Lin, Qingning Yang, Chuanming Li, Xinghua Liu

Int. J. Imaging Syst. Technol., 2021

2020

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.

Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen

IEEE Trans. Medical Imaging, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.

Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging.

Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen

CoRR, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.

Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen

CoRR, 2020

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification.

Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen

CoRR, 2020