Xiongjun Ye

15 papers A* 2Misc 4Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma.
Artif. Intell. Medicine
Xiaoming Jiang, Guoying Ji, Ye Yan, Xiongjun Ye, Chao Liang, Bao Li, Wei Wang, Shudong Zhang, Lizhi Shao
2026 J jnl
Dual-perspective decoupling network for kidney tumor segmentation on CT images.
Neural Networks
Xinya Gan, Sheng Zhu, Yuan Zhang, Zhiqiang Wang, Xiongjun Ye, Kai Hu, Xieping Gao
2025 J jnl
Dual-domain contrastive learning for three-dimensional multi-parametric magnetic resonance imaging to end-to-end predict kidney cancer subtypes.
Eng. Appl. Artif. Intell.
Guoying Ji, Lizhi Shao, Yihao Zhu, Xuwen Li, Tianwang Xun, Junxian Wu, Yabo Zhai, Yuan Yuan, Jie Lv, Xiaoming Jiang, Xiongjun Ye
2024 Misc conf
Dual Contrastive Learning Guided Pathological Image Re-Staining.
ICASSP
Yuexiao Liang, Zhineng Chen, Xin Chen, Caiyan Jia, Xiongjun Ye, Xieping Gao
2024 A* conf
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation.
NeurIPS
Kai Hu, Jinhao Li, Yuan Zhang, Xiongjun Ye, Xieping Gao
2024 J jnl
Pathological image super-resolution using mix-attention generative adversarial network.
Int. J. Mach. Learn. Cybern.
Zhineng Chen, Jing Wang, Caiyan Jia, Xiongjun Ye
2023 Misc conf
Automatic Segmentation of Nasopharyngeal Carcinoma in CT Images Using Dual Attention and Edge Detection.
ICASSP
Qizhi Wang, Wei Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu
2023 A* conf
Bi-directional Feature Fusion Generative Adversarial Network for Ultra-high Resolution Pathological Image Virtual Re-staining.
CVPR
Kexin Sun, Zhineng Chen, Gongwei Wang, Jun Liu, Xiongjun Ye, Yu-Gang Jiang
2023 J jnl
Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach.
IEEE J. Biomed. Health Informatics
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
2023 J jnl
MMSRNet: Pathological image super-resolution by multi-task and multi-scale learning.
Biomed. Signal Process. Control.
Xinyue Wu, Zhineng Chen, Changgen Peng, Xiongjun Ye
2023 Misc conf
Multi-Object Localization and Irrelevant-Semantic Separation for Nuclei Segmentation in Histopathology Images.
ICASSP
Ya Tang, Xiongjun Ye, Xuanya Li, Zhineng Chen
2023 J jnl
Polyp segmentation with distraction separation.
Expert Syst. Appl.
Tongtong Liu, Xiongjun Ye, Kai Hu, Dapeng Xiong, Yuan Zhang, Xuanya Li, Xieping Gao
2023 Misc conf
Transwnet: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation.
ICASSP
Yazhen Xie, Yanglin Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu
2021 J jnl
CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch.
J. Comput. Biol.
Zhineng Chen, Sai Wang, Caiyan Jia, Kai Hu, Xiongjun Ye, Xuanya Li, Xieping Gao
2021 J jnl
Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists.
IEEE Trans. Biomed. Eng.
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