史勇红博士自2007年在上海交通大学计算机科学与工程学系获得博士学位后，一直在复旦大学工作。她现在是复旦大学基础医学院数字医学中心副教授，也是上海市医学图像计算及计算机辅助手术重点实验室主要研究人员。研究兴趣包括医学图像分析，大数据挖掘，科学数据可视化和计算机辅助诊断。目前，她已经开发出许多用于脑磁共振成像、肺部胸片和计算机断层成像的图像处理方法，也开发出用于细胞、病毒噬斑自动识别的图像处理方法。这些尖端的计算方法已成功应用于帕金森病、肾衰竭研究和影像引导前列腺癌放射治疗的早期诊断。同时，史博士也获得多项国家和上海市科研项目资助，领导了复旦大学的多学科研究团队，旨在将先进的智能技术转化为基于成像的生物医学应用。

期刊论文

1. Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi*, Zhijian Song*. Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation. Biomedical Engineering Online 23, 52 (2024). https://doi.org/10.1186/s12938-024-01238-8.

2. Qi Zhang, Haoran Wang, Yonghong Shi*, and Wensheng Li*. White matter biomarker for predicting de novo Parkinson's disease using tract-based spatial statistics: a machine learning-based model. Quantitative Imaging in Medicine and Surgery. 2024 Apr 3;14(4):3086-3106. doi: 10.21037/qims-23-1478. (2024) 

3. Qinhao Guo, Linhao Qu, Jun Zhu, Haiming Li, Yong Wu, Simin Wang, Min Yu, Jiangchun Wu, Hao Wen, Xingzhu Ju, Xin Wang, Rui Bi, Yonghong Shi*, Xiaohua Wu*. Predicting Lymph Node Metastasis from Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathological Images, Modern Pathology, 26 Aug. 2023, 100316, https://doi.org/10.1016/j.modpat.2023.100316. (2023)

4. Genshen Song, Ziyue Xie, Haoran Wang, Shiman Li, Demin Yao, Shiyao Chen*, Yonghong Shi*. Segmentation of Portal Vein in Multiphase CTA image Based on Unsupervised Domain Transfer and Pseudo label, Diagnostics, 13, 2250. https://doi.org/10.3390/diagnostics13132250. (2023) 
   

5. Genshen Song, Ji Zhou, Kang Wang, Demin Yao, Shiyao CHEN, Yonghong Shi*. Segmentation of Multi-Regional Skeletal Muscle in Abdominal CT Image for Cirrhotic Sarcopenia Diagnosis, Frontiers in Neuroscience, 17:1203823. doi: 10.3389/fnins.2023.1203823  (2023)

6. 刘颜静，史勇红. 基于FPFH-PointNet的术中膝关节软骨表面点云自动提取, 解剖学报[J]，vol. 54(5): 553-559, 2023 （中文核心期刊）

7. Chi Qi, Shuo Wang, Haojun Yu, Yiqiu Zhang, Pengcheng Hu, Hui Tan, Yonghong Shi, Hongcheng Shi. An artificial intelligence‑driven image quality assessment system for whole‑body [18F]FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging, https://doi.org/10.1007/s00259-022-06078-z.  (2022)  

8. Chunli Qin, Ji Zhou, Demin Yao, Han Zhuang, Hui Wang, Shiyao Chen*, Yonghong Shi*, and Zhijian Song*. Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network. IEEE Transactions on Neural Networks and Learning Systems, 33(6): 2726-2736, https://doi.org/10.1109/TNNLS.2020.3045601. (2022)

9. Yanjing Liu, Demin Yao, Zanjing Zhai, Hui Wang, Jiayi Chen, Chuanfu Wu, Hua Qiao, Huiwu Li, Yonghong Shi: Fusion of Multimodality Image and Point Cloud for Spatial Surface Registion in Knee Arthroplasty. The International Journal of Medical Robotics and Computer Assisted Surgery, e2426, http://doi.org/10.1002/rcs.2426.  (2022) 

10. Yucong Meng, Haoran Wang, Chuanfu Wu, Xiaoyu Liu, Linhao Qu, Yonghong Shi.: Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning, Brain Sciences, 12(7), 858; https://doi.org/10.3390/brainsci12070858. (2022) 

    
    

会议论文

1. Bowei Shen, Xiaoquan Huang, Yonghong Shi*, Shiyao Chen*. Dual bidirectional copy-paste with shape constraint for semi-supervised image segmentation, 21st IEEE International Symposium on Biomedical Imaging (ISBI2024), Athena, Greece. (2024) 

2. Hui Wang, Demin Yao, Jiayi Chen, Yanjing Liu, Wensheng Li*, Yonghong Shi*. 2D-3D Hierarchical Feature Fusion Network for Segmentation of Bone Structure in Knee MR Image. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, pp. 575-578, April 13-16. (2021)

3. Yaocong Zou, Yonghong Shi*: Co-Segmentation of Multi-Modality Spinal Image Using Channel and Spatial Attention. In: Proceeding of 2021 International Workshop of Machine Learning in Medical Imaging (MLMI), Strasburg, France, LNCS 12966.pp. 287-295, Sep. 2021.

   
   

联系邮箱：yonghong.shi@fudan.edu.cn