余锦华

教授 博士生导师

个人信息Personal Information

电子邮箱：jhyu@fudan.edu.cn

所在单位：信息科学与工程学院

职称：教授

在职信息：在职

博士生导师

硕士生导师

学科：生物医学工程

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学术成果

当前位置中文主页 >> 科学研究 >> 学术成果

[1] Xuan Xie, Chao Shen, Xiandi Zhang, Guoqing Wu, Bojie Yang, Zengxin Qi, Qisheng Tang, Yuanyuan Wang, Hong Ding*, Zhifeng Shi*, Jinhua Yu*. Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning. EBioMedicine, 2023, 98:104899
[2] Yinhui Deng#, Quan Tao#, Qisheng Tang#, Yinlong Liu#, Hui Dong, Zhifeng Shi, Xiaoming Xie, Weiqi Wang*, Liangfu Zhou*, Jinhua Yu*. Detection of the characteristic magnetic signal of paclitaxel and its application in the inhibition of glioma cells, Fundamental Research, 2023.
[3] Guoqing Wu#, Zhifeng Shi#, Zeyang Li, Xuan Xie, Qisheng Tang, Jingjing Zhu, Zhong Yang, Yuanyuan Wang, Jinsong Wu*, Jinhua Yu*. Study of radiochemotherapy decision‑making for young high‑risk low‑grade glioma patients using a macroscopic and microscopic combined radiomics model. European Radiology, doi.org/10.1007/s00330-023-10378-9, 2023.
[4] Yini Huang#, Zhao Yao#, Lingling Li, Rushuang Mao, Weijun Huang, Zhengming Hu, Yixin Hu, Yun Wang, Ruohan Guo, Xiaofeng Tang, Liang Yang, Yuanyuan Wang, Rongzhen Luo, Jinhua Yu*, Jianhua Zhou*, Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers. eBioMedicine, 2023, 94: 104706.
[5] Leyin Li#, Zhaoyu Hu#, Yunqian Huang#, Wenqian Zhu, Chengqian Zhao, Yuanyuan Wang, Man Chen*, Jinhua Yu*. BP-Net: Boundary and Perfusion Feature Guided Dual-Modality Ultrasound Video Analysis Network for Fibrous Cap Integrity Assessment. Computerized Medical Imaging and Graphics, 2023, 107, 102246.
[6] Zhaoyu Hu, Leyin Li, An Sui, Guoqing Wu, Yuanyuan Wang, Jinhua Yu*. An efficient R-Transformer network with dual encoders for brain glioma segmentation in MR images. Biomedical Signal Processing and Control, 2023, 79, 104034, 1-10.
[7] Wenjia Duan, Cong Wang, Yiqing Jiang, An Sui, Zhi Li, Lu Wang, Zuhai Lei, Silvio Aime, Jinhua Yu*, Cong Li*. A Ratiometric SERS Probe for Imaging the Macrophage Phenotypes in Live Mice with Epilepsy and Brain Tumor. Advanced Healthcare Materials, 2023, 2301000.
[8] 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.
[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, 21, 103199, 1-12.
[10] 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.
[11] 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. Journal of Pathology. 2022, 258 (1): 49-57.
[12] An Sui, Yinhui Deng, Yuanyuan Wang, Jinhua Yu*. A deep learning model designed for Raman spectroscopy with a novel hyperparameter optimization method. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2022, 280, 121560.
[13] 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.
[14] 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.
[15] 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. Am J Cancer Res. 2021, 11(2): 576-589
[16] Guoqing Wu#, Xi Chen#, Jixian Lin, Yuanyuan Wang*,聽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.
[17] 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.
[18] 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.
[19] Yang Xiao, Congzhi Wang, Yang Sun, Xiangnan Zhang, Ligang Cui, Jinhua Yu*, Hairong Zheng*. Quantitative estimation of passive elastic properties of individual skeletal muscle in vivo using normalized elastic modulus-length curve. IEEE Trans. Biomedical Engineering, 2020, 67,12: 3371-3379.
[20] 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.

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