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)

Patient-level grading prediction of prostate cancer from mp-MRI via GMINet. - Lizhi Shao; Zhenyu Liu; Jiangang Liu; Ye Yan; Kai Sun; Xiangyu Liu; Jian Lu; Jie Tian 001 (Comput. Biol. Medicine, 2022)

Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. - Bao Li; Zhenyu Liu; Lizhi Shao; Bensheng Qiu; Hong Bu; Jie Tian 001 (AAAI, 2024)

M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer. - Song Zhang; Siyao Du; Caixia Sun; Bao Li; Lizhi Shao; Lina Zhang; Kun Wang 019; Zhenyu Liu; Jie Tian 001 (MICCAI (5), 2024)

Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images. - Junxian Wu 002; Xinyi Ke; Xiaoming Jiang; Huanwen Wu; Youyong Kong; Lizhi Shao (NeurIPS, 2024)

Dual-channel end-to-end network with prior knowledge embedding for improving spatial resolution of magnetic particle imaging. - Jiaxuan Wen; Yu An; Lizhi Shao; Lin Yin; Zhengyao Peng; Yanjun Liu 006; Jie Tian 001; Yang Du (Comput. Biol. Medicine, 2024)

Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation. - Xiaoming Jiang; Yongxin Yang; Tong Su; Kai Xiao; Lidan Lu; Wei Wang; Changsong Guo; Lizhi Shao; Mingjing Wang; Dong Jiang (Comput. Medical Imaging Graph., 2024)

Federated learning with comparative learning-based dynamic parameter updating on glioma whole slide images. - Longjian Huang; Lizhi Shao; Meiling Bao; Changsong Guo; Zhuhong Shao; Xiazi Huang; Mingjing Wang; Xiaoming Jiang; Shengzhou Hu (Eng. Appl. Artif. Intell., 2024)

Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images. - Junxian Wu 002; Minheng Chen; Xinyi Ke; Tianwang Xun; Xiaoming Jiang; Hongyu Zhou; Lizhi Shao; Youyong Kong (CVPR, 2025)

MIHCGENER: A Framework for Multiple Immunohistochemical Image Generation Based on the Combination of Pathological Foundation Model and Generative Model. - Tianwang Xun; Ruiyu Li; Lei Su; Junxian Wu 002; Di Dong; Wenting Shang; Lizhi Shao (ISBI, 2025)

Cervical Cancer Lesion Grading Based on Clinical Diagnostic Criteria and Multi-View Approach Using Intraoperative Colposcopic Images. - Shengming Zhao; Peng Chen; Jun Zhang; Lizhi Shao; Bing Wang (ISBI, 2025)

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)

Adaptive density-based clustering for many objective similarity or redundancy evolutionary optimization. - Mingjing Wang; Ali Asghar Heidari; Long Chen 021; Ruili Wang; Mingzhe Liu 001; Lizhi Shao; Huiling Chen 001 (Expert Syst. Appl., 2025)

Prior knowledge evaluation and emphasis sampling-based evolutionary algorithm for high-dimensional medical data feature selection. - Zhilin Wang; Lizhi Shao; Ali Asghar Heidari; Mingjing Wang; Huiling Chen 001 (Expert Syst. Appl., 2025)

GCESS: A two-phase generative learning framework for estimate molecular expression to cell detection and analysis. - Tianwang Xun; Lei Su; Wenting Shang; Di Dong; Lizhi Shao (Image Vis. Comput., 2025)

Prediction of Lymph Node Metastasis in Colorectal Cancer Using Intraoperative Fluorescence Multi-Modal Imaging. - Xiaobo Zhu; He Sun; Yuhan Wang; Gang Hu; Lizhi Shao; Song Zhang; Fucheng Liu; Chongwei Chi; Kunshan He; Jianqiang Tang; Yu An; Jie Tian 001; et al. (IEEE Trans. Medical Imaging, 2025)