Yongbei Zhu

According to our database, Yongbei Zhu authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

SFPL: Sample-specific fine-grained prototype learning for imbalanced medical image classification.

Yongbei Zhu, Shuo Wang, He Yu, Weimin Li, Jie Tian

Medical Image Anal., 2024

2023

A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer.

Zhe Li, Shuo Wang, He Yu, Yongbei Zhu, Qingxia Wu, Liusu Wang, Zhangjie Wu, Yuncui Gan, Weimin Li, Bensheng Qiu, Jie Tian

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

2022

Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children?

Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng

J. Digit. Imaging, 2022

Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images.

Yongbei Zhu, Liusu Wang, He Yu, Meili Liu, Mingyu Zhang, Weimin Li, Shuo Wang, Jie Tian

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Lung-Parenchyma-Contrast Hybrid Network For EGFR Gene Mutation Prediction In Lung Cancer.

Meili Liu, Shuo Wang, He Yu, Yongbei Zhu, Liusu Wang, Mingyu Zhang, Zhangjie Wu, Xiaohu Li, Weimin Li, Jie Tian

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Metabolic-related gene signature model forecasts biochemical relapse in primary prostate cancer.

Qiang Su, Zhenyu Liu, Yongbei Zhu, Jie Tian

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

IEEE Trans. Biomed. Eng., 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Quarter-split Domain-adaptive Network for EGFR Gene Mutation Prediction in Lung Cancer by Standardizing Heterogeneous CT image.

Liusu Wang, Shuo Wang, He Yu, Yongbei Zhu, Weimin Li, Jie Tian

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer.

Shou Wang, Xi Chen, Zhenyu Liu, Qingxia Wu, Yongbei Zhu, Meiyun Wang, Jie Tian

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis.

Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018