个人简介
葛宝，电子信息专业教师，1997-2004 本科及硕士毕业于西北大学, 2005年进入陕西师范大学, 2013年博士毕业于西北工业大学自动化学院。2014-2015年佐治亚大学（The University of Georgia）访问学者。发表论文三十多篇，主持两项国家自然科学基金项目，一项陕西省自然科学基金项目，多个其它项目，并参与多个各级各类项目。
讲授课程
数据结构，计算机网络， 科研方法与科技论文写作，操作系统，学科多媒体教学与课件制作，多媒体技术原理等。
研究方向
多模态（DTI，fMRI）影像下的大脑功能与结构分析；大脑与教育、心理以及脑疾病相关的研究。
发表论文
已在医学图像领域顶尖国际会议（MICCAI, IPMI, ISBI）和期刊上发表了相关论文， 并有多篇大会宣讲论文和获奖提名，主要代表性论文如下：
1. Bao Ge, Huan Wang, Panpan Wang,Yin Tian, Xin Zhang, Tianming Liu, Discovering and Characterizing Dynamic Functional Brain Networks, Brain Imaging and Behavior 2019.
2. Bao Ge, et. al, Discovering and Characterizing Dynamic Functional Brain Networks, OHBM2019, Rome, Italy.
3. Bao Ge, Xiaing Li, Xi Jiang, Tianming Liu, A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. Frontiers in Neuroinformatics, 2018.4, 12(17).
4. Bao Ge, Milad Makkie, Jin Wang, Shijie Zhao, Xi Jiang, Xiang Li, Jinglei Lv, Shu Zhang, Wei Zhang, Junwei Han, Lei Guo, Tianming Liu, Signal sampling for efficient sparse representation of resting state FMRI data, Brain Imaging and Behavior, 2016.12,10(4)： 1206~1222.
5. Bao Ge, Yin Tian, Xintao Hu, Hanbo Chen, Dajiang Zhu, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu, Construction of Multi-scale Consistent Brain Networks: Methods and Applications,PLOS ONE, 10(4):e0118175，2015.
6. Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Lei Guo, Tianming Liu, Signal Sampling for Efficient Sparse Representation of Resting State FMRI Data, IEEE International Symposium on Biomedical Imaging(ISBI), 1360 – 1363, 2015.
7. Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu, Construction of Multi-scale Common Brain Network Via DICCCOL, IPMI2013.
8. Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu, Construction of Multi-scale Brain Networks via DICCCOL Landmarks, ISBI2013.(口头报告).
9. Bao Ge, Lei Guo, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu，Resting State fMRI-guided Fiber Clustering: Methods and Applications，Neuroinformatics, 2013, 11(1)119-133.
10. Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Kaiming Li, Xintao Hu, Junwei Han, Tianming Liu, Group-wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles,MICCAI2012, LNCS, 15(Part III): 485–492.
11. Bao Ge, Lei Guo, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu，Resting state fMRI-guided fiber clustering,MICCAI2011, LNCS，14(Pt II):149-56.（口头报告,Student Travel Award, 提名Young Scientist Award).
12. Bao Ge, Lei Guo, Kaiming Li, Hai Li, Carlos Faraco, Qun Zhao, Stephen Miller and Tianming Liu，Automatic Clustering of White Matter Fibers Based on Symbolic Sequence Analysis, Proc.SPIE, 2010, 7623: 762327.1-762327.8.
13. Tuo Zhang, Dajiang Zhu, Xi Jiang, Bao Ge，Xintao Hu, Junwei Han, Lei Guo, Tianming Liu，Predicting Cortical ROIs via Joint Modeling of Anatomical and Connectional Profiles，Medical Image Analysis, 2013.
14. Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu, HAFNI-Enabled Largescale Platform for Neuroimaging Informatics (HELPNI), Brain Informatics, 2(4), 1-17, 2015.
15. Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu, Supervised Dictionary Learning for Inferring Concurrent Brain Networks, in press, IEEE Transactions on Medical Imaging, 99, 1-11, 2015.
16. Tuo Zhang, Hanbo Chen, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu, Group-WiseConsistent Sulcal Fundi Segmentation Based on Dmri-Derived ODF Features, IEEE International Symposium on Biomedical Imaging(ISBI), 638 – 641, 2015.
17. Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu, Deriving ADHD Biomarkers with Sparse Coding Based Network Analysis，IEEE International Symposium on Biomedical Imaging(ISBI), 22-25，2015.
18. Ke Jing, Tuo Zhang, Jianfeng Lu, Hanbo Chen,Lei Guo, Longchuan Li, Xiaoping Hu,Bao Ge,Tianming Liu, Multiscale and Multimodal Fusion of Tract-Tracing and Dti-Derived Fibers in Macaque Brains，IEEE International Symposium on Biomedical Imaging(ISBI), 938-942,2015.
19. Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, BaoGe, Lei Guo,Tianming Liu, Characterizing and Differentiating Task-Based and Resting State FMRI Signals Via Two-Stage Dictionary Learning，IEEE International Symposium on Biomedical Imaging(ISBI), 675-678，2015. (口头报告).
20. Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu, Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. IEEE International Conference on Multimedia and Expo (ICME), 2016, pp.1-6. (口头报告，Best Student Paper提名).
21. Yu Zhao, Hanbo Chen, Yujie Li, Jinglei Lv, Xi Jiang, Fangfei Ge, Tuo Zhang, Shu Zhang, Bao Ge, Cheng Lyu, Shijie Zhao, Junwei Han, Lei Guo, Tianming Liu, Connectome-scale Group-wise Consistent Resting-state Network Analysis in Autism Spectrum Disorder, Neuroimage: Clinical, 23-33，2016.
22. Yadi Li, Yin Tian, Bao Ge*, Lung Cancer Classification Using 3D-CNN with a Scheduled Learning Strategy, ICAITA2018.
致考生：如果你对大脑是怎么工作的感兴趣，对自己有明确的规划，又有一定的编程基础，欢迎加入本实验室。毕业后可推荐到美国读博士。
