Lizhi Shao

According to our database, Lizhi Shao authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Zhenyu Liu

IEEE Trans. Medical Imaging, March, 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

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

Expert Syst. Appl., 2025

Adaptive density-based clustering for many objective similarity or redundancy evolutionary optimization.

Mingjing Wang, Ali Asghar Heidari, Long Chen, Ruili Wang, Mingzhe Liu, Lizhi Shao, Huiling Chen

Expert Syst. Appl., 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

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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 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, Di Dong, Wenting Shang, Lizhi Shao

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images.

Junxian Wu, Minheng Chen, Xinyi Ke, Tianwang Xun, Xiaoming Jiang, Hongyu Zhou, Lizhi Shao, Youyong Kong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

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, Jie Tian, Yang Du

Comput. Biol. Medicine, 2024

Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images.

Junxian Wu, Xinyi Ke, Xiaoming Jiang, Huanwen Wu, Youyong Kong, Lizhi Shao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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, Zhenyu Liu, Jie Tian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

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

Comput. Biol. Medicine, 2022

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, Min Lu, Yi Huang, Kai Sun, Xuezhi Zhou, Guanyu Yang, Jian Lu, Jie Tian

IEEE Trans. Biomed. Eng., 2021