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葛宝
职称/职务: 副教授
电话: 81530750
传真:
电子信箱: bob_ge@163.com
出生年月:
办公地点: 致知楼3626

个人简介

葛宝,电子信息专业教师,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。目前主持一项国家自然科学青年基金,一项陕西省自然科学基金,一项教育部重点实验室开放课题,和中央高校项目一项,并参与多项其它项目。发表各类论文二十多篇。

讲授课程

计算机网络, 学科多媒体教学与课件制作,科技论文写作操作系统,数据结构,多媒体技术原理等。

研究方向

多模态(DTIfMRI,EEG)影像下的大脑功能与结构分析;大脑与教育、心理、音乐以及脑疾病相关的研究;深度学习。

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。

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, 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(i n press).

2.Bao Ge, et. al, Discovering and Characterizing Dynamic Functional Brain Networks, OHBM2019, Rome, Italy. (accepted)

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, et. al, Signal Sampling for Efficient Sparse Representation of Resting State FMRI Data, Brain Imaging and Behavior, in press2015.

6.Bao Ge, et. al, Construction of Multi-scale Consistent Brain Networks: Methods and Applications,PLOS ONE, 10(4):e01181752015.

7.Bao Ge, et. al, Signal Sampling for Efficient Sparse Representation of Resting State FMRI Data, IEEE International Symposium on Biomedical Imaging(ISBI), 1360 1363, 2015.

8.Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu, Construction of Multi-scale Common Brain Network Via DICCCOL, IPMI2013.(accepted)

9.Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu, Construction of Multi-scale Brain Networks via DICCCOL Landmarks, ISBI2013.(accepted, oral paper)

10.Bao Ge, Lei Guo, Tuo Zhang, Xintao Hu, Junwei Han, Tianming LiuResting State fMRI-guided Fiber Clustering: Methods and Applications,Neuroinformatics, 2013, 11(1)119-133.

11.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): 485492.

12.Bao Ge, Lei Guo, Tuo Zhang, Xintao Hu, Junwei Han, Tianming LiuResting state fMRI-guided fiber clustering,MICCAI2011, LNCS,14(Pt II):149-56.(oral paper,Student Travel Award, FinalistforYoung Scientist Award)

13.Bao Ge, Lei Guo, Kaiming Li, Hai Li, Carlos Faraco, Qun Zhao, Stephen Miller and Tianming LiuAutomatic Clustering of White Matter Fibers Based on Symbolic Sequence Analysis, Proc.SPIE, 2010,Vol. 7623: 762327.1-762327.8.

14.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.

15.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.

16.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.

17.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.

18.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.

19.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.

20.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.

21.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.

22.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, 23-332016.


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