主要从事AI for Biomedicine领域研究，包括：肿瘤多模态智能诊疗、生物医学图像分析、生物启发式深度学习等

计算机科学与技术、生物医学工程、模式识别与控制工程

2012-09--2018-06   上海交通大学   博士
2010-09--2012-05   上海理工大学   硕士
2006-09--2010-06   中北大学   学士

   

2025-02~现在, 中国科学院深圳先进技术研究院, 副研究员
2021-01~2025-02,中国科学院深圳先进技术研究院, 助理研究员
2018-07~2021-01,中国科学院深圳先进技术研究院, 博士后

2025-10-31-今,广东省医学教育协会 数智神经外科专委会, 委员
2023-12-31-今,中国民族卫生协会 放射医学分会, 青年委员

   

（1） 中国图象图形学学会 自然科学奖, 二等奖, 其他, 2024

（ 1 ） 一种肿瘤新辅助化疗响应预测方法及系统, 发明专利, 2024, 第 4 作者, 专利号: CN117853520A

（ 2 ） 脑胶质瘤分型预测方法、装置、计算机设备及存储介质, 发明专利, 2024, 第 1 作者, 专利号: CN117372341A

（ 3 ） 一种微泡检测方法、装置、存储介质及终端设备, 发明专利, 2023, 第 3 作者, 专利号: CN116823697A

（ 4 ） 核磁共振图像批量配准方法及系统, 发明专利, 2023, 第 3 作者, 专利号: CN116777959A

（ 5 ） 一种基于影像基因组学的生存预测方法和系统, 发明授权, 2023, 第 3 作者, 专利号: CN112907555B

（ 6 ） 一种基于双区域影像组学的食管鳞癌生存预测方法和系统, 发明专利, 2021, 第 3 作者, 专利号: CN113096757A

（ 7 ） 一种基于影像基因组学的生存预测方法和系统, 发明专利, 2021, 第 3 作者, 专利号: CN112907555A

（ 8 ） X射线相位衬度图像提取方法、装置、终端及存储介质, 发明专利, 2021, 第 4 作者, 专利号: CN112568923A

（ 9 ） 一种医学图像处理系统和医学图像处理方法, 发明专利, 2020, 第 3 作者, 专利号: CN110706794A

（ 10 ） 病理图像处理方法、装置、图像分析系统及存储介质, 发明专利, 2019, 第 3 作者, 专利号: CN110517268A

（ 11 ） 图像特征提取方法、装置、肿瘤识别系统及存储介质, 发明专利, 2019, 第 3 作者, 专利号: CN110503114A

（ 12 ） 肾透明细胞癌转移判断特征的提取方法、装置和存储介质, 发明专利, 2019, 第 1 作者, 专利号: CN110211089A

（ 13 ） 一种癌转移预测影像特征的筛选方法、装置和存储介质, 发明专利, 2019, 第 1 作者, 专利号: CN110148115A

• Zeyu Zhang#(学生), Yuanshen Zhao#, Jingxian Duan, Yaou Liu, Hairong Zheng, Dong Liang, Zhenyu Zhang*, Zhi-Cheng Li*. Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis. IEEE Journal of Biomedical and Health Informatics. 2026. (Accepted)
• Chunfeng Shao#(学生), Yuanshen Zhao#*, Jingxian Duan, Zeyu Zhang, Dong Liang, Dongyue Chen*, Zhi-Cheng Li*. Integrating Whole-Slide Images and Transcriptomic Data for Survival Analysis Using Multimodal Attention Networks. Engineering Applications of Artificial Intelligence. 2026. 174: 114461.
• Yuanshen Zhao#, Feng Liu#(学生), Chaofan Zhu#(学生), Chongzhe Yan, Bangkang Fu, Junjie He, Xin Xie, Rongpin Wang*, Zhi-Cheng Li*. Integrating Radiology and Histology via Co-Attention Learning for Predicting Progression-Free Survival in Patients with Metastatic Prostate Cancer. Chinese Medical Journal. 2025;138(22):3013-3015.
• Yuanshen Zhao#, Longsong Li#, Xi Yu#, Ke Han, Jingxian Duan, Dong Liang, Ningli Chai*, Zhi-Cheng Li*. SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer. Neural Networks. 2025,189:107607.
• Chongzhe Yan#, Feng Liu#, Ying Cao, Huijuan Tu, Zi Xu, Wuchao Li, Pinhao Li, Zhiyang Xing, Yi Chen, Zhi-Cheng Li, Yuanshen Zhao*, Bo Gao, Rongpin Wang*. PcPreT-Net: Predicting classification of decline rate in prostate-specific antigen using graph neural network. Displays, 2025, 102703.
• Yuanshen Zhao#, Weiwei Wang#, Yuchen Ji, Yang Guo, Jingxian Duan, Xianzhi Liu, Dongming Yan, Dong Liang, Wencai Li, Zhenyu Zhang*, Zhi-Cheng Li*. Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole-Slide Images in Adult Patients with Diffuse Glioma, American Journal of Pathology, 2024, 194(5): 747-758.
• Feng Liu#（学生）, Yuanshen Zhao#*, Chongzhe Yan#, Jingxian Duan, Lei Tang, Bao Gao, Rongpin Wang*. Identifying pathological groups from MRI in prostate cancer using graph representation learning. Displays, 2024, 83, 102699.
• Feng Liu#（学生）, Yuanshen Zhao#*, Jukun Song, Guilian Tu, Yadong Liu, Yunsong Peng, Jiahui Mao, Chongzhe Yan*, Rongpin Wang*. A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI. Displays, 2024, 102703.
• Hui Li#（学生）, Yuanshen Zhao#, Jingxian Duan, Jia Gu, Zaiyi Liu, Huailing Zhang, Yuqin Zhang*, Zhi-Cheng Li*.MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer. Displays, 2024, 102699.
• Weiwei Wang#, Yuanshen Zhao#, Lianghong Teng#，Jing Yan#, Yang Guo, Yuning Qiu, Yuchen Ji, Bin Yu, Dongling Pei, Wenchao Duan, Minkai Wang, Li Wang, Jingxian Duan, Qiuchang Sun, Shengnan Wang, Huanli Duan, Chen Sun, Yu Guo, Lin Luo, Zhixuan Guo, Fangzhan Guan, Zilong Wang, Aoqi Xing, Zhongyi Liu, Hongyan Zhang, Li Cui, Lan Zhang, Guozhong Jiang, Dongming Yan, Xianzhi Liu, Hairong Zheng, Dong Liang, Wencai Li*, Zhi-Cheng Li*, Zhenyu Zhang*. Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images. Nature Communications, 2023,14(1):6359.
• Yuanshen Zhao#, Longsong Li#, Ke Han, Tao Li, Jingxian Duan, Qiuchang Sun, Chaofan Zhu, Dong Liang, Ningli Chai*, Zhi-Cheng Li*. A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer. Abdominal Radiology. 2023,48(11):3332-3342.
• Jingxian Duan#, Yuanshen Zhao#, Qiuchang Sun, Dong Liang, Zaiyi Liu, Xin Chen, Zhi-Cheng Li*. Imaging‐proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer. Cancer Medicine, 2023, 12(23):21256-21269.
• Huixiao You#（学生）, Yuanshen Zhao#, Qiuchang Sun, Wenxia Wu, Xiafei Lv, Yinsheng Chen, Huailing Zhang*, Zhi-Cheng Li*. Deep learning MRI signature to predict survival and treatment benefit from temozolomide in IDH-wildtype glioblastoma. Displays, 2023, 77, 102399.
• Yuanshen Zhao#, Guiqin Liu#, Qiuchang Sun, Guangtao Zhai, Guangyu Wu*, Zhi-Cheng Li*. Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways. European Radiology, 2021,31:5032-5040.
• Jing Yan#, Yuanshen Zhao#, Yinsheng Chen#, Weiwei Wang, Wenchao Duan, Li Wang, Shenhai Zhang, Tianqing Ding, Lei Liu, Qiuchang Sun, Dongling Pei, Yunbo Zhan, Haibiao Zhao, Tao S un, Chen Sun, Wenqing Wang, Zhen Li, Xuanke Hong, Xiangxiang Wang, Yu Guo, Wencai Li, Jingliang Cheng, Xianzhi Liu, Xiaofei Lv*, Zhi-Cheng Li*, Zhenyu Zhang*. Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities. EBioMedicine. 2021.72 102583.
• Jing Yan#, Lei Liu#, Weiwei Wang#, Yuanshen Zhao#, Kay Ka-Wai Li, Ke Li, Li Wang, Binke Yuan, Haiyang Geng, Shenghai Zhang, Zhen Liu, Wenchao Duan, Yunbo Zhan, Dongling Pei, Haibiao Zhao, Tao Sun, Chen Sun, Wenqing Wang, Xuanke Hong, Xiangxiang Wang, Yu Guo, Wencai Li, Jingliang Cheng, Xianzhi Liu, Ho-Keung Ng, Zhicheng Li*, Zhenyu Zhang*. Radiomic features from multi-parameter MRI combined with clinical parameters predict molecular subgroups in patients with medulloblastoma. Frontiers in Oncology, 2020, 10, 558162.
• Xiao Ling, Yuanshen Zhao*, Liang Gong, Chengliang Liu, Tao Wang. Dual-arm cooperation and implementing for robotic harvesting tomato using binocular vision. Robotics and Autonomous Systems, 2019, 114: 134-143.
• Yuanshen Zhao, Liang Gong, Yixiang Huang, Chengliang Liu. Robust tomato recognition for robotic harvesting using feature image fusion. Sensors, 2016, 16(2):173.
• Yuanshen Zhao, Liang Gong, Bin Zhou, Yixiang Huang, Chengliang Liu. Detecting tomatoes in greenhouse scenes by combining AdaBoost classifier and colour analysis. Biosystems Engineering, 2016, 148(8), 127-137.
• Yuanshen Zhao, Liang Gong, Yixiang Huang, Chengliang Liu*. A review of key techniques of vision-based control for harvesting robot. Computers and Electronics in Agriculture, 2016, 127(9), 311-323. (ESI高被引)

   

（ 1 ） 基于医学图像生成与融合的肿瘤诊疗模型研, 负责人, 境内委托项目, 2025-09--2027-09
（ 2 ） 基于自然语言大模型的医疗健康辅助系统, 参与, 地方任务, 2025-03--2028-03
（ 3 ） 基于重整化图网络的胃癌预后预测多模态深度学习模型研究, 负责人, 地方任务, 2025-01--2027-12
（ 4 ） 类器官时空原位3D功能打印仪器研制, 参与, 国家任务, 2025-01--2029-12
（ 5 ） 基于图深度学习的脑胶质瘤多尺度医学图像融合分析与智能建模, 负责人, 地方任务, 2024-01--2026-12
（ 6 ） 高时空分辨率光学与能谱显微CT双模态成像仪, 参与, 国家任务, 2023-11--2026-11
（ 7 ） 基于生物语义的肾透明细胞癌转移预测影像组学分析方法研究, 负责人, 国家任务, 2020-01--2022-12

   

中国人民解放军总医院第一医学中心、郑州大学一附院、中山肿瘤医院、贵州省人民医院