• 何晖光
  • 博士
  • 研究员

    • NeuBCI

  • 自动化研究所, 中国科学院
  • Contact:
  • Email: huiguang.he at ia.ac.cn
  • Tel: +86-10-82544621
  • Research Interests:
  • 模式识别, 医学图像处理,脑与认知科学

个人简介

何晖光，男，1973年生，中国科学院自动化研究所研究员，博士生导师, 中国科学院大学人工智能学院脑认知与智能医学教研室主任、岗位教授，中科院青年创新促进会优秀会员，IEEE高级会员。中国科学院脑科学与智能技术卓越中心年轻骨干。中国图象图形学会视觉大数据专委会常务委员，CCF计算机视觉专委会委员。分别于1994年（本科），1997年（硕士）毕业于大连海事大学，1997-1999在大连海事大学科研院从事教学与科研工作；2002年在中国科学院自动化研究获博士学位，同年留所工作。2003-2004期间在美国罗切斯特大学放射系做博士后研究，2008年1-3月，在加拿大滑铁卢大学做高级研究学者，2014.10-2015.4在美国北卡大学教堂山分校做访问教授。何晖光博士先后主持了5项国家自然科学基金（包括1项国家自然基金重点项目）、2项863项目的研究，获得国家科技进步二等奖两项（分别排名第二、第三），北京市科技进步奖两项，2004年获中科院首届优秀博士论文奖，2007年被评为北京市科技新星，2009年获得中科院“卢嘉锡青年人才奖”,2012年入选中科院青年创新促进会（2016年被评为优秀会员）。其研究领域为脑科学、人工智能，医学影像处理，脑-机接口等， 其研究结果在NeuroImage, Human Brain Mapping, AJNR, MICCAI等相关领域的国内外核心期刊以及国际主流会议上发表文章一百余篇。

主要获奖情况：

1.           大规模断层数据的分割与重建的研究及应用      2003年国家科技进步二等奖（排名第2）

2.           基于混合匹配的指纹识别系统与应用                 2004年国家科技进步二等奖（排名第3）

3.           数字几何的研究及其在医学可视化中的应用    2004中科院优秀博士论文    

4.           2007年北京市科技新星           

5.           2009年,中科院“卢嘉锡青年人才奖”

6.         2012年, 中科院青年创新促进会会员（2016年被评为优秀会员）

作为项目负责人主持的部分项目

1、国家自然科学基金重大研究计划重点支持项目，91520202，基于视觉信息编解码的深度学习的类脑机制研究，2016/01-2017/12，154万元，结题，主持

2、中国科学院青年创新促进会优秀会员支持项目，2017/01-2019/12，180万元，主持，结题

2、国家自然科学基金面上项目，61271151，基于多模态影像的弱视患者脑结构及功能研究，2013/01-2016/12，88万元，结题，主持

3、国家自然科学基金面上项目，60875079，多维神经元放电信号的解析及其在脑-机接口中的应用，2009/01-2011/12，43万元，结题，主持

4、国家863计划，2007AA01Z327，基于增强虚拟现实技术的冠状动脉介入治疗导航系统，2007/06-2009/12，86万元，结题，主持

5、国家自然科学基金面上项目，30670530，缺血性脑卒中半暗带时空进化模型的研究， 2007/01-2009/12，23万元，结题，主持

6、国家自然科学基金青年基金，60302016，基于小波域MRF的核磁图象分割算法研究，2004/01-2006/12，24万元，结题，主持

7、北京市自然基金，超大规模三维医学影像可视化关键技术的研究，2004/01-2006/12，15万元，结题，主持

 

部分文章发表情况 (* 通信作者)

  1. Hongwei Wen, Yue Liu, Islem Rekik, Shengpei Wang, Zhiqiang Chen, Jishui Zhang, Yue Zhang, Yun Peng*, Huiguang He*, Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children, Molecular Neurobiology, 2017, In Press, DOI: 10.1007/s12035-017-0519-1
  2. H Wen, Y Liu, I Rekik, S Wang, Z Chen, J Zhang, Y Zhang, Y Peng*, H He*，Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children, Pattern Recognition, 2016, DOI: 10.1016/j.patcog.2016.09.039
  3. J Wang, T Li, P Zhou, N Wang, J Xian*, H He*， Altered functional connectivity within and between the default model network and the visual network in primary open-angle glaucoma: a resting-state fMRI study，Brain Imaging and Behavior, 1-10, doi:10.1007/s11682-016-9597-3
  4. J Wang, T Li, N Wang, J Xian*, H He*, Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients, European radiology, 2016 Nov;26(11):3957-3967
  5. H Wen, Y Liu, J Wang, I Rekik, J Zhang, Y Zhang, H Tian, Y Peng*, H He*, Combining tract‐and atlas‐based analysis reveals microstructural abnormalities in early Tourette syndrome children, Human brain mapping, 2016 May;37(5):1903-19
  6. J Wang, T Li, BA Sabel, Z Chen, H Wen, J Li, X Xie, D Yang, W Chen, J Xian*, H He*, Structural brain alterations in primary open angle glaucoma: a 3T MRI study, Scientific reports, 2016 Jan 8;6:18969. doi: 10.1038/srep18969.
  7. Li W, Li J, Wang J, Zhou P, Wang Z, Xian J*, He H*., Functional Reorganizations of Brain Network in Prelingually Deaf Adolescents. Neural Plast. 2016;2016:9849087. doi: 10.1155/2016/9849087.
  8. Jieqiong Wang, Wen Miao, Jing Li, Meng Li, Zonglei Zhen, Bernhard Sabel, Junfang Xian, Huiguang He*. Automatic segmentation of the lateral geniculate nucleus: Application to control and glaucoma patients [J]. Journal of neuroscience methods, 2015, 255: 104-114. doi:10.1016/j.jneumeth.2015.08.006, http://www.sciencedirect.com/science/article/pii/S0165027015002873
  9. Wen Miao, Fengyuan Man, Shaoqin Wu, Bin Lv, Zhenchang Wang, Junfang Xian, Bernhard A Sabel, Huiguang He*, Yonghong Jiao. Brain Abnormalities in Congenital Fibrosis of the Extraocular Muscles Type 1: A Multimodal MRI Imaging Study [J]. PloS one, 2015, 10(7): e0133473. DOI: 10.1371/journal.pone.0133473,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0133473
  10. Wenjing Li, Jianhong Li, Zhenchang Wang, Yong Li, Zhaohui Liu, Fei Yan, Junfang Xian, Huiguang He*. Grey matter connectivity within and between auditory, language and visual systems in prelingually deaf adolescents [J]. Restorative neurology and neuroscience, 2015. DOI: 10.3233/RNN-140437.  http://www.sciencedirect.com/science/article/pii/S0010448514001754
  11. Xuejiao Chen, Jiaxi Hu, Huiguang He*, Jing Hua. Spherical volume-preserving Demons registration [J]. Computer-Aided Design, 2015, 58: 99-104. doi:10.1016/j.cad.2014.08.006, http://europepmc.org/abstract/med/25698109
  12. Meng Li, Coraline D Metzger, Wenjing Li, Adam Safron, Marie-José van Tol, Anton Lord, Anna Linda Krause, Viola Borchardt, Weiqiang Dou, Axel Genz, Hans-Jochen Heinze, Huiguang He*, Martin Walter. Dissociation of glutamate and cortical thickness is restricted to regions subserving trait but not state markers in major depressive disorder [J]. Journal of affective disorders, 2014, 169: 91-100. doi:10.1016/j.jad.2014.08.001,http://www.sciencedirect.com/science/article/pii/S0165032714004777
  13. Jieqiong Wang, Wenjing Li, Wen Miao, Dai Dai, Jing Hua, Huiguang He*, Age estimation using cortical surface pattern combining thickness with curvatures, Medical & Biological Engineering & Computing, 2014, DOI: 10.1007/s11517-013-1131-9, http://link.springer.com/article/10.1007/s11517-013-1131-9
  14. van Tol, M-J., M. Li, C. D. Metzger, N. Hailla, D. I. Horn, W. Li, H. J. Heinze, H. He*, M. Walter*, "Local cortical thinning links to resting-state disconnectivity in major depressive disorder." Psychological medicine (2014): 1-13. DOI: http://dx.doi.org/10.1017/S0033291713002742
  15. Liu, Yue, Wen Miao, Jieqiong Wang, Peiyi Gao, Guangheng Yin, Liping Zhang, Chuankai Lv, Peiyi Gao, Huiguang He, Yun Peng "Structural Abnormalities in Early Tourette Syndrome Children: A Combined Voxel-Based Morphometry and Tract-Based Spatial Statistics Study." PloS one , no. 9 (2013): e76105.
  16. X. Chen, H. He*, G. Zou, X. Zhang, X. Gu, J. Hua, Ricci flow-based spherical parameterization and surface registration, Computer Vision and Image Understanding, Volume 117, Issue 9, September 2013, Pages 1107-1118 (SCI, IF=1.5)
  17. Li, J., W. Shi, M. Li, Z. Wang, H. He, J. Xian, B. Lv, and F. Yan. "Time-dependent diffusion tensor changes of optic nerve in patients with indirect traumatic optic neuropathy." Acta Radiologica (2013): 0284185113506900.
  18. Li W, van Tol MJ, Li M, Miao W, Jiao Y, Heinze HJ, Bogerts B, He H*, Walter M. Regional specificity of sex effects on subcortical volumes across the lifespan in healthy aging. Hum Brain Mapp. 2014, 35 (1), 238-247.  (SCI Index: IF=6.9)
  19. Wen Miao, Jianhong Li, Ming Tang, Junfang Xian, Wenjing Li, Zhaohui Liu, Sha Liu, Sabel BA, Zhenchang Wang, Huiguang He*, Altered white matter integrity in Children with Prelingual deafness: a High resolution Tract-Based Spatial Statistics imaging Study, American Journal of Neuroradiology, published online on December 28, 2012, 10.3174/ajnr.A3370. （SCI Index：IF=2.9）
  20. Jianhong Li, Wenjing Li, Junfang Xian, Yong Li, Zhaohui Liu, Sha Liu, Xiaocui Wang, Zhenchang Wang, Huiguang He*, Cortical thickness analysis and optimized voxel-based morphometry in children and adolescents with prelingually profound sensorineural hearing loss, Brain Research, Volume 1430, 9 January 2012, Pages 35-42 (SCI Index:IF=2.7)
  21. Li W, Li J, Xian J, Lv B, Li M, Wang C, Li Y, Liu Z, Liu S, Wang Z, He H*, Sabel BA. Alterations of grey matter asymmetries in adolescents with prelingual deafness: A combined VBM and cortical thickness analysis , Restor Neurol Neurosci. 2012 Oct 9. [Epub ahead of print]  PMID: 23047496 (SCI Index: IF=2.5)
  22. Lu J, Li W, He H*, Feng F, Jin Z, Wu L. Altered hemispheric symmetry found in left-sided mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE/HS) but not found in right-sided MTLE/HS. Magn Reson Imaging. 2013 Jan;31(1):53-9. (SCI Index: IF=1.99)
  23. Dai Dai, Huiuang He*, Joshua T. Vogelstein, Zeng-guang Hou, Accurate prediction of AD patients using cortical thickness networks, Machine Vision and Applications, DOI 10.1007/s00138-012-0462-0, (SCI Index:IF=1.0 )
  24. Dai D, Wang J, Hua J, He H*. Classification of ADHD children through multimodal magnetic resonance imaging. Front Syst Neurosci. 2012;6:63. doi: 10.3389/fnsys.2012.00063. Epub 2012 Sep 3.
最后修改: 2023/07/26 14:41 | 作者: He Huiguang