•   2015.12-: 复旦大学电子工程系教授 博导

•   2011.2 至 2015.11 : 复旦大学电子工程系副研究员

•   2008.7 至 2010.8: University of Missouri博士后研究员

•   2008.6: 获复旦大学医学电子学专业博士学位

•   2003年: 获云南大学通信与信息系统专业硕士学位

•   2000年: 获云南大学电子学与信息系统专业学士学位

• 医学信号处理（深度学习，医疗影像大数据，影像组学，医学影像处理）
• 人工智能辅助诊断（基于磁共振、超声、CT的人工智能辅助诊断系统）
• 医学超声成像（成像原理、方法，非线性超声成像）

招生方向：

博士：生物医学工程      专业学位工程博士

硕士：生物医学工程      电路与系统     电子信息    专业学位工程硕士

• 本科生课程：概率、数理统计与随机过程（卓越工程师班）， 医学超声技术
• 研究生课程： 系统匹配与连接
• 博士生课程：信号、图像处理及其在医学中应用

• 中国仪器仪表学会副主任委员
• 中国生物医学工程学会青年委员会委员
• 中国声学学会委员
• 中国生物医学工程学会委员
• 上海生物医学工程学会委员

部分论文（*通讯作者）：

1. Zhao Yao, Ting Luo, Yijie Dong, Xiaohong Jia, Yinhui Deng, GuoqingWu, Ying Zhu, Jingwen Zhang, Juan Liu, Lichun Yang, Xiaomao Luo, Zhiyao Li, Yanjun Xu, Bin Hu, Yunxia Huang, Cai Chang, Jinfeng Xu, Hui Luo, Fajin Dong, Xiaona Xia, Chengrong Wu, Wenjia Hu, Gang Wu, Qiaoying Li, Qin Chen, Wanyue Deng, Qiongchao Jiang, Yonglin Mou, Huannan Yan, Xiaojing Xu, Hongju Yan, Ping Zhou, Yang Shao, Ligang Cui, Ping He, Linxue Qian, Jinping Liu, Liying Shi, Yanan Zhao, Yongyuan Xu, Weiwei Zhan, Yuanyuan Wang, Jinhua Yu*, Jianqiao Zhou*. Virtual elastography ultrasound via generative adversarial network for breast cancer diagnosis. Nature Communication, 2023, 14: 788, 12 pages.
2. Jinhua Yu, Yinhui Deng, Tongtong Liu, Jin Zhou, Xiaohong Jia, Tianlei Xiao, Shichong Zhou, Jiawei Li, Yi Guo, Yuanyuan Wang, Jianqiao Zhou, Cai Chang. Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics. Nature Communication, 2020, 11: 4807, 10 pages.
3. Xueyi Zheng^#, Zhao Yao^#, Yini Huang^#, Yanyan Yu^#, Yun Wang, Yubo Liu, Rushuang Mao, Fei Li, Yang Xiao, Yuanyuan Wang, Yixin Hu, Jinhua Yu*, Jianhua Zhou*. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer. Nature Communication, 2020, 11: 1236, 9 pages.
4. Nidan Qiao#, Damin Yu#, Guoqing Wu#, Qilin Zhang, Boyuan Yao, Min He, Hongying Ye, Zahoyun Zhang, Yongfei Wang, Hanfeng Wu*, Yao Zhao*, Jinhua Yu*. Low‐rank fusion convolutional neural network for prediction of remission after stereotactic radiosurgery in patients with acromegaly: a proof‐of‐concept study. The Journal of Pathology. 2021, 258 (1): 49-57
5. Ziyi Jin, Qi Yue, Wenjia Duan, An Sui, Botao Zhao, Yinhui Deng, Yuting Zhai, Yuwen Zhang, Tao Sun, Guang-Ping Zhang, Limei Han, Ying Mao*, Jinhua Yu*, Xiao-Yong Zhang*, Cong Li*. Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis. Advanced Science. 2022 Jan 12; e2104935.
6. Guoqing Wu, Xi Chen, Zhifeng Shi, Dachuan Zhang, Zhaoyu Hu, Ying Mao, Yuanyuan Wang, Jinhua Yu*. Convolutional neural network with coarse-to-fine resolution fusion and residual learning structures for cross-modality image synthesis. Biomedical Signal Processing and Control, 2022, 21, 103199, 1-12.
7. Xi Chen#, Yu Lei#, Jiabin Su, Heng Yang, Wei Ni, Jinhua Yu*, Yuxiang Gu*, Ying Mao. A Review of Artificial Intelligence in Cerebrovascular Disease Imaging: Applications and Challenges. Current Neuropharmacology, 2022, 20 (7): 1359-1382.
8. Zhaoyu Hu#, Qiyuan Zhuang#, YangXiao#, Guoqing Wu, Zhifeng Shi, Liang Chen, Yuanyuan Wang, Jinhua Yu*. MIL Normalization —— Prerequisites for Accurate MRI Radiomics Analysis. Computers in Biology and Medicine, 2021:104403.
9. Guoqing Wu, Xi Chen, Zhifeng Shi, Dachuan Zhang, Zhaoyu Hu, Ying Mao, Yuanyuan Wang*, Jinhua Yu*. Convolutional neural network with coarse-to-fine resolution fusion and residual learning structures for cross-modality image synthesis. Biomedical Signal Processing and Control. 2022, 71, 103199.
10. Leyin Li^#, Zhaoyu Hu^#, Yunqian Huang^#, Wenqian Zhu, Yuanyuan Wang, Man Chen*, Jinhua Yu*. Automatic multi-plaque tracking and segmentation in ultrasonic videos. Medical Image Analysis, 2021:102201.
11. Zeju Li^#, Jinhua Yu^#, Yuanyuan Wang*, Hanzhang Zhou, Haowei Yang, Zhongwei Qiao*. DeepVolume: Brain structure and spatial connection-aware network for brain MRI super-resolution. IEEE transactions on Cybernetics, 2021, 51(7): 3441-3454.
12. Jieyang Jin^#, Zhao Yao^#, Ting Zhang, Jie Zeng, Lili Wu, Manli Wu, Jinfen Wang, Yuanyuan Wang, Jinhua Yu*, Rongqin Zheng*. Deep learning radiomics model accurately predicts hepatocellular carcinoma occurrence in chronic hepatitis B patients: a five-year follow-up. American Journal of Cancer Research. 2021, 11(2): 576-589.
13. Guoqing Wu^#, Xi Chen^#, Jixian Lin, Yuanyuan Wang*, Jinhua Yu*. Identification of invisible ischemic stroke in non-contrast CT based on novel two-stage convolutional neural network model. Medical Physics. 2021, 48(3): 1262-1275.
14. Liyun Xue^#, Zhuoyun Jiang^#, Tiantian Fu, Qingmin Wang, Yuli Zhu, Meng Dai, Wenping Wang, Jinhua Yu*, Hong Ding*. Transfer Learning Radiomics Based on Multimodal Ultrasound Imaging for Staging Liver Fibrosis. European Radiology, 2020, 2020, 30:2973-2983.
15. Huigao Luo, Qiyuan Zhuang, Yuanyuan Wang, Aibaidula Abudumijiti, Kuangyu Shi, Axel Rominger, Hong Chen, Zhong Yang, Vanessa Tran, Guoqing Wu, Zeju Li, Zhen Fan, Zengxin Qi, Yuxiao Guo, Jinhua Yu*, Zhifeng Shi*. A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas. Laboratory Investigation, 2020, doi.org/10.1038/s41374-020-0472-x. IF 5.662
16. Xi Chen^#, Zhen Fan^#, Kay Ka-Wai Li, Guoqing Wu, Zhong Yang, Xin Gao, Yingchao Liu, Haibo Wu, Hong Chen, Qisheng Tang, Liang Chen, Yuanyuan Wang, Ying Mao, Ho-Keung Ng, Zhifeng Shi, Jinhua Yu*, and Liangfu Zhou. Molecular subgrouping of medulloblastoma based on few-shot learning of multitasking using conventional MR images: a retrospective multicenter study. Neuro-Oncology Advances, 2020, 2(1): doi:10.1093/noajnl/vdaa079.
17. Yuan Gao^#, Yingchao Liu^#, Yuanyuan Wang*, Zhifeng Shi, Jinhua Yu*. A universal intensity standardization method based on a many-to-one weak-paired cycle generative adversarial network for magnetic resonance images. IEEE transactions on medical imaging, 2019, 38(9): 2059-2069.
18. Guoqing Wu, Zhifeng Shi, Yinsheng Chen, Yuanyuan Wang*, Jinhua Yu*, Xiaofei Lv, Liang Chen, Xue Ju, Zhongping Chen. A sparse representation-based radiomics for outcome prediction of higher grade gliomas. Medical Physics, 2019, 46(1): 250-261.
19. Guoqing Wu^#, Yinsheng Chen^#, Yuanyuan Wang*, Jinhua Yu*, Xiaofei Lv, Xue Ju, Zhifeng    Shi, Liang Chen, Zhongping Chen. Sparse representation-based radiomics for the diagnosis of brain tumors. IEEE Transactions on Medical Imaging, 2018, 37(4): 893-905.
20. Tongtong Liu^#, Xifeng Ge^#, Jinhua Yu *, Yi Guo, Yuanyuan Wang, Wenping Wang, Ligang Cui*. Comparison of the application of B-Mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach. International Journal of Computer Assisted Radiology and Surgery, 2018, 13: 1617-1627.
21. Zhao Yao^#, Yi Dong^#, Guoqing Wu, Qi Zhang, Daohui Yang, Jinhua Yu*, Wenping Wang*. Preoperative diagnosis and predicting of hepatocellular carcinoma: radiomics analysis based on multi-modality ultrasound images. BMC Cancer, 2018, 18: 1089 (11pages).
22. Jinhua Yu, Zhifeng Shi, Yuxi Lian,Zeju Li, Yuan Gao, Yuanyuan Wang, Liang Chen, Ying Mao. Noninvasive IDH1 mutation estimation based on quantitative radiomics approach for grade II glioma. European Radiology, 2017, 27(8): 3509-3522.
23. Jinhua Yu, Zhifeng Shi, Chunhong Ji, Yuxi Lian, Yuanyuan Wang, Liang Chen, Ying Mao. Anatomical location differences between mutated and wild-type isocitrate dehydrogenase 1 in low-grade gliomas. International journal of neuroscience, 2017, 6:1-8. doi: 10.1080/00207454.2016.1270278. 
24. Siqing Nie, Jinhua Yu*, Ping Chen, Yuanyuan Wang, Jian Qiu Zhang. Automatic detection of standard sagittal plane in the first trimester of pregnancy using 3D ultrasound data. Ultrasound in Medicine and Biology, 2017, 43(1): 286-300. 

1. 余锦华, 马友能, 汪源源. 二阶波动方程的非分裂完全匹配层的构造方法. 专利申请号:201210360352.9. 专利号：ZL201210360352.9 (已授权)
2. 余锦华，聂思晴，汪源源. 基于深度置信网络和三维模型的正中矢状面自动检测方法, 专利申请号:201510688066.9. 专利号：201510688066.9. (已授权)
3. 余锦华, 马友能, 汪源源. 一种适用于多个高阶极点的系统函数的部分分式分解方法. 专利申请号:201310082465.1. 
4. 余锦华，李兴松，汪源源. 基于带约束最小二乘法的超声衰减系数成像方法, 专利申请号:201510439757.5
5. 余锦华，季春红，史之峰，陈亮，汪源源，毛颖. 结合感兴趣区域和GrowCut算法的3D自动脑胶质瘤分割方法, 专利申请号:201510374494.4
6. 余锦华，史之峰，李泽榉，汪源源，陈亮，毛颖. 基于影像组学的脑胶质瘤分子标记物无损预测方法, 专利申请号：201611171958.2
7. 余锦华，汪源源，吴国庆. 基于稀疏表示框架的较高级别脑胶质瘤生存期预测方法和系统，专利申请号：2018100292559
8. 汪源源，余锦华，吴国庆，李泽榉. 一种基于稀疏表示体系的原发性脑部淋巴瘤和胶质母细胞瘤鉴别方法, 专利申请号：201710162702.3
9. 汪源源，余锦华，李泽榉. 基于对抗网络的薄层磁共振图像重建系统，专利申请号：
10. 汪源源, 余锦华. 一种基于二维模糊聚类的超声图像分割方法. 申请号:200610116339.3，公开号:CN1924926A.  （已授权）
11. 非线型超声成像仿真系统V1.0. 计算机软件著作权, 登记号:2013SR039690
12. 非线性超声成像仿真系统V2.0. 计算机软件著作权, 登记号:2017SR001506.
13. 基于磁共振成像的胶质瘤三维全自动分割系统V1.0，计算机软件著作权，登记号：2016SR198841.
14. 产科超声图像自动测量系统V1.0. 计算机软件著作权, 登记号: 2017SR219980.
15. 产前超声辅助诊断系统V1.0. 计算机软件著作权, 登记号: 2017SR219882.
16. 胎儿正中矢状面检测系统V1.0. 计算机软件著作权, 登记号: 2017SR219984.
17. 胎儿颈部透明层参数自动测量系统V1.0. 计算机软件著作权, 登记号: 2017SR220032.
18. 基于超声衰减成像的肝脏脂肪含量评估软件V1.0. 计算机软件著作权, 登记号: 2018SR063664.
19. 基于剪切波的超声吸收率测量系统V1.0. 计算机软件著作权, 登记号: 2018SR068001.

国家自然科学基金面上项目 82382096

国家自然科学基金重大研究计划91959127

国家自然科学基金面上项目61471125

上海市科技创新行动计划19441903100

国家重点基础研究发展计划2015CB755500项目PI

国家自然科学基金青年项目81101049

上海市浦江人才计划12PJ1401200

教育部博士点基金20110071120019

复旦大学专用集成电路与系统国家重点实验室自主课题面上课题11MS007

• 2023入选斯坦福全球2%顶尖科学家；
• 2023获中国国际高新技术成果交易会优秀产品奖；
• 2020复旦大学信息科学与工程学院院长奖
• 2019年中国生物医学工程竞赛一等奖
• 2018复旦大学信息科学与工程学院院长奖
• 2017中国生物医学工程会议优秀论文奖
• 2015仪器仪表学会优秀论文奖
• 2015年上海市自然科学三等奖
• 2014年信息学院优秀工作者
• 2013年信息学院二等奖教金
• 2012年入选浦江人才计划
• 2011国际无线电联盟授予Young Scientist Award
• 2009年复旦大学优秀博士论文奖