Xiongjun Ye

According to our database, Xiongjun Ye authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Pathological image super-resolution using mix-attention generative adversarial network.

Zhineng Chen, Jing Wang, Caiyan Jia, Xiongjun Ye

Int. J. Mach. Learn. Cybern., January, 2024

2023

Polyp segmentation with distraction separation.

Tongtong Liu, Xiongjun Ye, Kai Hu, Dapeng Xiong, Yuan Zhang, Xuanya Li, Xieping Gao

Expert Syst. Appl., October, 2023

Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach.

Xiangyu Liu, Zhenyu Liu, Ye Yan, Kai Wang, Aodi Wang, Xiongjun Ye, Liwei Wang, Wei Wei, Bao Li, Caixia Sun, Wei He, Xuehua Zhu, Zenan Liu, Jiangang Liu, Jian Lu, Jie Tian

IEEE J. Biomed. Health Informatics, April, 2023

MMSRNet: Pathological image super-resolution by multi-task and multi-scale learning.

Xinyue Wu, Zhineng Chen, Changgen Peng, Xiongjun Ye

Biomed. Signal Process. Control., March, 2023

Transwnet: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation.

Yazhen Xie, Yanglin Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu

Proceedings of the IEEE International Conference on Acoustics, 2023

Automatic Segmentation of Nasopharyngeal Carcinoma in CT Images Using Dual Attention and Edge Detection.

Qizhi Wang, Wei Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Object Localization and Irrelevant-Semantic Separation for Nuclei Segmentation in Histopathology Images.

Ya Tang, Xiongjun Ye, Xuanya Li, Zhineng Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

Bi-directional Feature Fusion Generative Adversarial Network for Ultra-high Resolution Pathological Image Virtual Re-staining.

Kexin Sun, Zhineng Chen, Gongwei Wang, Jun Liu, Xiongjun Ye, Yu-Gang Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists.

Lizhi Shao, Zhenyu Liu, Ye Yan, Jiangang Liu, Xiongjun Ye, Haizhui Xia, Xuehua Zhu, Yuting Zhang, Zhiying Zhang, Huiying Chen, Wei He, Cheng Liu, Min Lu, Yi Huang, Kai Sun, Xuezhi Zhou, Guanyu Yang, Jian Lu, Jie Tian

IEEE Trans. Biomed. Eng., 2021

CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch.

Zhineng Chen, Sai Wang, Caiyan Jia, Kai Hu, Xiongjun Ye, Xuanya Li, Xieping Gao

J. Comput. Biol., 2021