Lizhi Shao

19 papers A* 3Journal 13Unranked 3
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
Trajectory prediction and direction separation-based Harris hawks optimization for feature selection in high-dimensional medical data.
Int. J. Mach. Learn. Cybern.
Zhilin Wang, Lizhi Shao, Mingjing Wang, Huiling Chen
2025 J jnl
Adaptive density-based clustering for many objective similarity or redundancy evolutionary optimization.
Expert Syst. Appl.
Mingjing Wang, Ali Asghar Heidari, Long Chen, Ruili Wang, Mingzhe Liu, Lizhi Shao, Huiling Chen
2025 — conf
Cervical Cancer Lesion Grading Based on Clinical Diagnostic Criteria and Multi-View Approach Using Intraoperative Colposcopic Images.
ISBI
Shengming Zhao, Peng Chen, Jun Zhang, Lizhi Shao, Bing Wang
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
2025 J jnl
GCESS: A two-phase generative learning framework for estimate molecular expression to cell detection and analysis.
Image Vis. Comput.
Tianwang Xun, Lei Su, Wenting Shang, Di Dong, Lizhi Shao
2025 A* conf
Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images.
CVPR
Junxian Wu, Minheng Chen, Xinyi Ke, Tianwang Xun, Xiaoming Jiang, Hongyu Zhou, Lizhi Shao, Youyong Kong
2025 — conf
MIHCGENER: A Framework for Multiple Immunohistochemical Image Generation Based on the Combination of Pathological Foundation Model and Generative Model.
ISBI
Tianwang Xun, Ruiyu Li, Lei Su, Junxian Wu, Di Dong, Wenting Shang, Lizhi Shao
2025 J jnl
Prediction of Lymph Node Metastasis in Colorectal Cancer Using Intraoperative Fluorescence Multi-Modal Imaging.
IEEE Trans. Medical 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, Zhenyu Liu
2025 J jnl
Prior knowledge evaluation and emphasis sampling-based evolutionary algorithm for high-dimensional medical data feature selection.
Expert Syst. Appl.
Zhilin Wang, Lizhi Shao, Ali Asghar Heidari, Mingjing Wang, Huiling Chen
2024 J jnl
Dual-channel end-to-end network with prior knowledge embedding for improving spatial resolution of magnetic particle imaging.
Comput. Biol. Medicine
Jiaxuan Wen, Yu An, Lizhi Shao, Lin Yin, Zhengyao Peng, Yanjun Liu, Jie Tian, Yang Du
2024 J jnl
Federated learning with comparative learning-based dynamic parameter updating on glioma whole slide images.
Eng. Appl. Artif. Intell.
Longjian Huang, Lizhi Shao, Meiling Bao, Changsong Guo, Zhuhong Shao, Xiazi Huang, Mingjing Wang, Xiaoming Jiang, Shengzhou Hu
2024 A* conf
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images.
NeurIPS
Junxian Wu, Xinyi Ke, Xiaoming Jiang, Huanwen Wu, Youyong Kong, Lizhi Shao
2024 — conf
M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer.
MICCAI (5)
Song Zhang, Siyao Du, Caixia Sun, Bao Li, Lizhi Shao, Lina Zhang, Kun Wang, Zhenyu Liu, Jie Tian
2024 A* conf
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images.
AAAI
Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian
2024 J jnl
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation.
Comput. Medical Imaging Graph.
Xiaoming Jiang, Yongxin Yang, Tong Su, Kai Xiao, Lidan Lu, Wei Wang, Changsong Guo, Lizhi Shao, Mingjing Wang, Dong Jiang
2023 J jnl
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images.
CoRR
Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian
2022 J jnl
Patient-level grading prediction of prostate cancer from mp-MRI via GMINet.
Comput. Biol. Medicine
Lizhi Shao, Zhenyu Liu, Jiangang Liu, Ye Yan, Kai Sun, Xiangyu Liu, Jian Lu, Jie Tian
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