CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch. - Zhineng Chen; Sai Wang; Caiyan Jia; Kai Hu 002; Xiongjun Ye; Xuanya Li; Xieping Gao (J. Comput. Biol., 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; et al. (IEEE Trans. Biomed. Eng., 2021)

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 001 (CVPR, 2023)

Multi-Object Localization and Irrelevant-Semantic Separation for Nuclei Segmentation in Histopathology Images. - Ya Tang; Xiongjun Ye; Xuanya Li; Zhineng Chen (ICASSP, 2023)

Automatic Segmentation of Nasopharyngeal Carcinoma in CT Images Using Dual Attention and Edge Detection. - Qizhi Wang; Wei Huang; Yuan Zhang 022; Xuanya Li; Xiongjun Ye; Kai Hu 002 (ICASSP, 2023)

Transwnet: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation. - Yazhen Xie; Yanglin Huang; Yuan Zhang 022; Xuanya Li; Xiongjun Ye; Kai Hu 002 (ICASSP, 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., 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 022; Bao Li; Caixia Sun; Wei He; Xuehua Zhu; et al. (IEEE J. Biomed. Health Informatics, 2023)

Polyp segmentation with distraction separation. - Tongtong Liu; Xiongjun Ye; Kai Hu 002; Dapeng Xiong; Yuan Zhang 022; Xuanya Li; Xieping Gao (Expert Syst. Appl., 2023)

Dual Contrastive Learning Guided Pathological Image Re-Staining. - Yuexiao Liang; Zhineng Chen; Xin Chen; Caiyan Jia; Xiongjun Ye; Xieping Gao (ICASSP, 2024)

One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation. - Kai Hu 002; Jinhao Li 009; Yuan Zhang 022; Xiongjun Ye; Xieping Gao (NeurIPS, 2024)

Pathological image super-resolution using mix-attention generative adversarial network. - Zhineng Chen; Jing Wang; Caiyan Jia; Xiongjun Ye (Int. J. Mach. Learn. Cybern., 2024)

Dual-domain contrastive learning for three-dimensional multi-parametric magnetic resonance imaging to end-to-end predict kidney cancer subtypes. - Guoying Ji; Lizhi Shao; Yihao Zhu; Xuwen Li; Tianwang Xun; Junxian Wu; Yabo Zhai; Yuan Yuan; Jie lv; Xiaoming Jiang; Xiongjun Ye (Eng. Appl. Artif. Intell., 2025)