Yongbei Zhu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Pulmonary Embolism

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Medical Image Anal.

Publications

Yongbei Zhu, Shuo Wang, He Yu, Weimin Li, Jie Tian
SFPL: Sample-specific fine-grained prototype learning for imbalanced medical image classification. Medical Image Anal. 97 (2024)
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) (2023)
Meili Liu, Shuo Wang, He Yu, Yongbei Zhu, Liusu Wang, Mingyu Zhang, Zhangjie Wu, Xiaohu Li, Weimin Li, Jie Tian
A Lung-Parenchyma-Contrast Hybrid Network For EGFR Gene Mutation Prediction In Lung Cancer. ISBI (2022)
Yongbei Zhu, Liusu Wang, He Yu, Meili Liu, Mingyu Zhang, Weimin Li, Shuo Wang, Jie Tian
Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images. ISBI (2022)
Qiang Su, Zhenyu Liu, Yongbei Zhu, Jie Tian
Metabolic-related gene signature model forecasts biochemical relapse in primary prostate cancer. EMBC (2022)
Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? J. Digit. Imaging 35 (5) (2022)
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)
Liusu Wang, Shuo Wang, He Yu, Yongbei Zhu, Weimin Li, Jie Tian
A Quarter-split Domain-adaptive Network for EGFR Gene Mutation Prediction in Lung Cancer by Standardizing Heterogeneous CT image. EMBC (2021)
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) (2021)
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)
Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC (2018)