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2020 – today
- 2024
[j5]Jiaxuan Wen, Yu An
, Lizhi Shao, Lin Yin, Zhengyao Peng, Yanjun Liu, Jie Tian, Yang Du:
Dual-channel end-to-end network with prior knowledge embedding for improving spatial resolution of magnetic particle imaging. Comput. Biol. Medicine 178: 108783 (2024)- [j4]Xiaoming Jiang, Yongxin Yang, Tong Su, Kai Xiao, Lidan Lu, Wei Wang, Changsong Guo, Lizhi Shao, Mingjing Wang, Dong Jiang:
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation. Comput. Medical Imaging Graph. 116: 102407 (2024) - [j3]Longjian Huang, Lizhi Shao, Meiling Bao, Changsong Guo, Zhuhong Shao, Xiazi Huang, Mingjing Wang, Xiaoming Jiang, Shengzhou Hu:
Federated learning with comparative learning-based dynamic parameter updating on glioma whole slide images. Eng. Appl. Artif. Intell. 137: 109233 (2024) - [c2]Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. AAAI 2024: 3000-3008 - [c1]Song Zhang, Siyao Du, Caixia Sun, Bao Li, Lizhi Shao, Lina Zhang, Kun Wang, Zhenyu Liu, Jie Tian:
M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer. MICCAI (5) 2024: 458-468 - 2023
- [i1]Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. CoRR abs/2312.06454 (2023) - 2022
- [j2]Lizhi Shao, Zhenyu Liu, Jiangang Liu, Ye Yan, Kai Sun, Xiangyu Liu, Jian Lu, Jie Tian:
Patient-level grading prediction of prostate cancer from mp-MRI via GMINet. Comput. Biol. Medicine 150: 106168 (2022) - 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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