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2020 – today
- 2024
[j6]Zhineng Chen
, Jing Wang, Caiyan Jia, Xiongjun Ye:
Pathological image super-resolution using mix-attention generative adversarial network. Int. J. Mach. Learn. Cybern. 15(1): 149-159 (2024)- [c5]Yuexiao Liang, Zhineng Chen, Xin Chen, Caiyan Jia, Xiongjun Ye, Xieping Gao:
Dual Contrastive Learning Guided Pathological Image Re-Staining. ICASSP 2024: 1881-1885 - 2023
- [j5]Xinyue Wu, Zhineng Chen, Changgen Peng, Xiongjun Ye:
MMSRNet: Pathological image super-resolution by multi-task and multi-scale learning. Biomed. Signal Process. Control. 81: 104428 (2023) - [j4]Tongtong Liu, Xiongjun Ye, Kai Hu, Dapeng Xiong, Yuan Zhang, Xuanya Li, Xieping Gao:
Polyp segmentation with distraction separation. Expert Syst. Appl. 228: 120434 (2023) - [j3]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:
Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach. IEEE J. Biomed. Health Informatics 27(4): 1780-1789 (2023) - [c4]Kexin Sun, Zhineng Chen, Gongwei Wang, Jun Liu, Xiongjun Ye, Yu-Gang Jiang:
Bi-directional Feature Fusion Generative Adversarial Network for Ultra-high Resolution Pathological Image Virtual Re-staining. CVPR 2023: 3904-3913 - [c3]Ya Tang, Xiongjun Ye, Xuanya Li, Zhineng Chen:
Multi-Object Localization and Irrelevant-Semantic Separation for Nuclei Segmentation in Histopathology Images. ICASSP 2023: 1-5 - [c2]Qizhi Wang, Wei Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu:
Automatic Segmentation of Nasopharyngeal Carcinoma in CT Images Using Dual Attention and Edge Detection. ICASSP 2023: 1-5 - [c1]Yazhen Xie, Yanglin Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu:
Transwnet: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation. ICASSP 2023: 1-5 - 2021
- [j2]Zhineng Chen, Sai Wang, Caiyan Jia, Kai Hu, Xiongjun Ye, Xuanya Li, Xieping Gao:
CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch. J. Comput. Biol. 28(7): 732-743 (2021) - [j1]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:
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. 68(12): 3690-3700 (2021)
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