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. Zhang, Haosu#，Shi, Yonghong# , Yao, Chengjun#，Tang, Weijun，Yao, Demin，Zhang, Chenxi，Wang, Manning，Wu, Jinsong ，Song, Zhijian ，Alteration of the Intra- and Cross-Hemisphere Posterior Default Mode Network in Frontal Lobe Glioma Patients，Scientific Reports，6. (2016)

2. Yonghong Shi，Shu Liao，Dinggang Shen ，Learning Statistical Correlation for Fast Prostate Registration In Image-guided RAdiotherapy，Medical Physics，38(11): 5980~5990. (2011)

3. Yonghong Shi，Feihu Qi，Zhong Xue，Liya Chen，Kyoko Ito，Hidenori Matsuo，Dinggang Shen，Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics，IEEE Transactions on Medical Imaging，27(4): 481~494. (2008)

4. Xiuming Li，Dongsheng Jiang，Yonghong Shi*，Wensheng Li*，Segmentation of MR Image Using Local and Global Region based Geodesic Model，BioMedical Engineering Online，14(8): 1~16. (2015)

5. Mao, Yihao，Liu, Hong，Ye, Rong，Shi, Yonghong*，Song, Zhijian*，Detection and segmentation of virus plaque using HOG and SVM: Toward automatic plaque assay，Bio-medical Materials and Engineering，24(6): 3187~3198. (2014)

6. Chen Zu，Zhengxia Wang，Daoqiang Zhang，PeiPeng Liang，Yonghong Shi，Dinggang Shen，Guorong Wu. Robust multi-atlas label propagation by deep sparserepresentation，Pattern Recognition，63: 511~517.   (2017)

7. Jiang, Dongsheng，Shi, Yonghong，Yao, Demin，Wang, Manning，Song, Zhijian. miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration，International Journal of Computer Assisted Radiology and Surgery，11(6): 997-1005. (2016)

8. 王亚平，史勇红，刘桂雪，李文生，基于DTI技术的健康成人胼胝体、扣带回、中脑白质纤维束密度随年龄变化关系的研究，神经解剖学杂志，4: 429~435. (2016)

9. Qian Wang，Minjeong Kim，Yonghong Shi，Guorong Wu，Dinggang Shen，PredictBrain MR Image Registration via Sparse Learning of Appearance andTransformation，Medical Image Analysis， 20（1）：61~75. (2015)

10. Yeqin Shao，Yaozong Gao，Yanrong Guo，Yonghong Shi，Xin Yang，Dinggang Shen，HierarchicalLung Field Segmentation with Joint Shape and Appearance Sparse Learning，IEEE Transactions on Medical Imaging，33(9): 1761~1771. (2014)

11. Yiyong Chen，Yonghong Shi，Zhijian Song，Differences in the architecture of low-grade and high-grade gliomas evaluated using fiber density index and fractional anisotropy，Journal of Clinical Neuroscience，17(7): 824~829. (2010)

会议论文

1. Yonghong Shi，Guorong Wu，Zhijian Song，Dinggang Shen，Dense Deformation Reconstruction via Sparse Coding，2012 International Conference on Machine Learning and Medical Imaging，France，2012.10.1-2012.10.5

2. Yonghong Shi，Shu Liao,，Dinggang Shen，Learning Statistical Correlation of Prostate Deformations for Fast Registration，2011 International Converence on Machine Learning and Medical Imaging，Canada，2011.9.18-2011.9.22

3. Yonghong Shi，Dinggang Shen，Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs，11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008)，America，2008.9.6-2008.9.10

4. Yonghong Shi，Dinggang Shen，Learning longitudinal deformations for adaptive segmentation of lung fields from serial chest radiographs，4th International Workshop on Medical Imaging and Augmented Reality，Japan，2008.8.1-2008.8.2

5. Pei Dong，Yanrong Guo，Yue Gao，Peipeng Liang，Yonghong Shi，Qian Wang，Dinggang Shen ，Guorong Wu ，Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning，2nd International Workshop on Patch-based Techniques in Medical Imaging (Patch-MI2016)，Greece，2016.10.17-2016.10.21

联系邮箱：yonghong.shi@fudan.edu.cn