Yongbei Zhu - RankMe

11 papers Journal 4Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	SFPL: Sample-specific fine-grained prototype learning for imbalanced medical image classification. Medical Image Anal. Yongbei Zhu, Shuo Wang, He Yu, Weimin Li, Jie Tian
2023	J	`jnl`	A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. IEEE Trans. Emerg. Top. Comput. Intell. Zhe Li, Shuo Wang, He Yu, Yongbei Zhu, Qingxia Wu, Liusu Wang, Zhangjie Wu, Yuncui Gan, Weimin Li, Bensheng Qiu, Jie Tian
2022	—	`conf`	A Lung-Parenchyma-Contrast Hybrid Network For EGFR Gene Mutation Prediction In Lung Cancer. ISBI Meili Liu, Shuo Wang, He Yu, Yongbei Zhu, Liusu Wang, Mingyu Zhang, Zhangjie Wu, Xiaohu Li, Weimin Li, Jie Tian
2022	J	`jnl`	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 Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng
2022	—	`conf`	Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images. ISBI Yongbei Zhu, Liusu Wang, He Yu, Meili Liu, Mingyu Zhang, Weimin Li, Shuo Wang, Jie Tian
2022	—	`conf`	Metabolic-related gene signature model forecasts biochemical relapse in primary prostate cancer. EMBC Qiang Su, Zhenyu Liu, Yongbei Zhu, Jie Tian
2021	—	`conf`	A Quarter-split Domain-adaptive Network for EGFR Gene Mutation Prediction in Lung Cancer by Standardizing Heterogeneous CT image. EMBC Liusu Wang, Shuo Wang, He Yu, Yongbei Zhu, Weimin Li, Jie Tian
2021	—	`conf`	A generative adversarial network-based CT image standardization model for predicting progression-free survival of lung cancer. EMBC Qingxia Wu, Wenhui Huang, Shuo Wang, He Yu, Liushu Wang, Zhangjie Wu, Yongbei Zhu, Zhenyu Liu, He Ma, Jie Tian
2021	J	`jnl`	Mix Contrast for COVID-19 Mild-to-Critical Prediction. IEEE Trans. Biomed. Eng. Yongbei Zhu, Shuo Wang, Siwen Wang, Qingxia Wu, Liusu Wang, Hongjun Li, Meiyun Wang, Meng Niu, Yunfei Zha, Jie Tian
2019	—	`conf`	Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer. Computer-Aided Diagnosis Shou Wang, Xi Chen, Zhenyu Liu, Qingxia Wu, Yongbei Zhu, Meiyun Wang, Jie Tian
2018	—	`conf`	Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian