基本信息

沈丽君 男 中国科学院自动化研究所
电子邮件: lijun.shen@ia.ac.cn
通信地址: 北京市海淀区中关村东路95号,自动化大厦207A
邮政编码:100190
招生信息
招生专业
081203-计算机应用技术
招生方向
计算机视觉,超大规模数据管理,分布式计算
教育背景
2016-09--2021-02 澳门科技大学 博士2007-09--2010-06 内蒙古工业大学 硕士2000-09--2004-06 西北大学 本科
工作经历
工作简历
2021-04~现在, 中国科学院自动化研究所, 副研究员2013-06~2021-03,中国科学院自动化研究所, 工程师2010-07~2013-05,中国科学院自动化研究所, 助理工程师
社会兼职
2022-03-03-今,中国自动化学会智能健康与生物信息专业委员会, 委员
2021-10-01-今,系统仿真学报, 青年编委
2021-10-01-今,系统仿真学报, 青年编委
专利与奖励
专利成果
[1] 陈曦, 韩华, 沈丽君, 马宏图, 张丽娜. 一种面向序列切片的扫描电镜三维影像获取系统及方法. CN: CN114049252A, 2022-02-15.[2] 沈丽君, 洪贝, 韩华, 陈曦. 基于电镜图像的集成电路金属圆孔自动识别方法及系统. CN: CN112200164A, 2021-01-08.[3] 沈丽君, 常胜, 韩华, 李琳琳, 陈曦. 扫描电镜透射模式与透射电镜联用的病毒快速检测系统. CN: CN112381817A, 2021-02-19.[4] 陈曦, 吕亚楠, 韩华, 沈丽君. 基于仿射变换的显微序列图像自动拼接方法、系统及装置. CN: CN112381718A, 2021-02-19.[5] 陈曦, 翟昊, 沈丽君, 谢启伟, 韩华. 基于孪生网络的笼养动物行为分析方法、系统、装置. CN: CN111582214A, 2020-08-25.[6] 陈曦, 韩华, 沈丽君, 马宏图. 大视场光学显微图像成像装置及方法. CN: CN109283679A, 2019-01-29.[7] 陈曦, 韩华, 沈丽君, 谢启伟. 显微序列图像拼接方法及装置. CN: CN109584156A, 2019-04-05.[8] 陈曦, 韩华, 沈丽君, 谢启伟. 显微序列图像拼接方法及装置. CN: CN109584156B, 2022-01-28.[9] 陈曦, 周芳旭, 韩华, 沈丽君. 多幅显微图像拼接中的灰度校正方法及装置. CN: CN107958442A, 2018-04-24.[10] 陈曦, 韩华, 李国庆, 谢启伟, 沈丽君. 面向序列切片的扫描电镜图像实时配准装置及方法. CN: CN108038874A, 2018-05-15.[11] 陈曦, 韩华, 谢启伟, 沈丽君. 生物组织序列切片显微图像的配准方法及装置. CN: CN107545567A, 2018-01-05.[12] 谢启伟, 韩华, 陈曦, 沈丽君, 李国庆. 基于电镜序列切片图像的突触检测方法. CN: CN106407988A, 2017-02-15.[13] 谢启伟, 韩华, 沈丽君, 陈曦, 李国庆. 基于双光子图像的突触检测方法. CN: CN106373116A, 2017-02-01.[14] 陈曦, 韩华, 谢启伟, 沈丽君. 小波邻域高斯模型图像复原方法. CN: CN106508111B, 2014-10-22.[15] 韩华, 胡敏, 陈涛, 陈曦, 谢启伟, 沈丽君. 一种基于多尺度基本形式的相似尺度图像融合方法. CN: CN106508048B, 2014-08-27.[16] 沈丽君, 陈涛, 韩华, 陈曦, 谢启伟. 利用自适应多尺度基本形式实现图像融合的方法. CN: CN106508047B, 2014-08-27.[17] 谢启伟, 韩华, 陈曦, 沈丽君. 一种基于图像边缘保持自适应分解的超分辨率重建方法. CN: CN106508045B, 2014-08-27.[18] 谢启伟, 韩华, 陈曦, 沈丽君. 基于带限二维EMD与Gabor自适应滤波的图像时频分析法. CN: CN106508110B, 2014-07-23.
出版信息
发表论文
[1] Liu, Jing, Hong, Bei, Xiao, Chi, Zhai, Hao, Shen, Lijun, Xie, Qiwei, Han, Hua. A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images. Expert Systems with Applications[J]. 2024, 第 5 作者255(null): http://dx.doi.org/10.1016/j.eswa.2024.124562.[2] Zijian Hu, Jiazheng Liu, Shiya Shen, Weiqian Wu, Jingbin Yuan, Weiwei Shen, Lingyu Ma, Guangchao Wang, Shunyao Yang, Xiuping Xu, Yaning Cui, Zhenchen Li, Lijun Shen, Linlin Li, Jiahui Bian, Xi Zhang, Hua Han, Jinxing Lin. Large-volume fully automated cell reconstruction generates a cell atlas of plant tissues. The Plant Cell[J]. 2024, 第 13 作者null(null): [3] Zhenchen Li, Xu Yang, Jiazheng Liu, Bei Hong, Yanchao Zhang, Hao Zhai, Lijun Shen, Xi Chen, Zhiyong Liu, Hua Han. DeepMulticut: Deep Learning of Multicut Problem for Neuron Segmentation from Electron Microscopy Volume. IEEE Transactions on Pattern Analysis and Machine Intelligence[J]. 2024, 第 7 作者null(null): [4] Liu, Jiazheng, Zheng, Yafeng, Lin, Limei, Guo, Jingyue, Lv, Yanan, Yuan, Jingbin, Zhai, Hao, Chen, Xi, Shen, Lijun, Li, Linlin, Bai, Shunong, Han, Hua. A robust transformer-based pipeline of 3D cell alignment, denoise and instance segmentation on electron microscopy sequence images. JOURNAL OF PLANT PHYSIOLOGY[J]. 2024, 第 9 作者297(null): http://dx.doi.org/10.1016/j.jplph.2024.154236.[5] Xin, Tong, Lv, Yanan, Chen, Haoran, Li, Linlin, Shen, Lijun, Shan, Guangcun, Chen, Xi, Han, Hua. A novel registration method for long-serial section images of EM with a serial split technique based on unsupervised optical flow network. BIOINFORMATICS[J]. 2023, 第 5 作者39(8): http://dx.doi.org/10.1093/bioinformatics/btad436.[6] Liu, Jing, Qi, Junqian, Chen, Xi, Li, Zhenchen, Hong, Bei, Ma, Hongtu, Li, Guoqing, Shen, Lijun, Liu, Danqian, Kong, Yu, Zhai, Hao, Xie, Qiwei, Han, Hua, Yang, Yang. Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data. CELL REPORTS[J]. 2022, 第 8 作者40(5): 111151, http://dx.doi.org/10.1016/j.celrep.2022.111151.[7] Bei Hong, Jing Liu, Hao Zhai, Jiazheng Liu, Lijun shen, Xi Chen, Qiwei Xie, 韩华. Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes. BMC Bioinformatics[J]. 2022, 第 5 作者 通讯作者 23(1): 1-23, [8] Chang, Sheng, Shen, Lijun, Li, Linlin, Chen, Xi, Han, Hua. Denoising of scanning electron microscope images for biological ultrastructure enhancement. JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY[J]. 2022, 第 2 作者20(3): [9] Liu, Jiazheng, Li, Weifu, Peng, Jiangtao, Shen, Lijun, Han, Hua, Zhang, Peng, Yang, Lei. Geolocation Error Estimation and Correction on Long-Term MWRI Data. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, 第 4 作者59(11): 9448-9461, [10] Zhou, Fangxu, Shen, Lijun, Chen, Bohao, Chen, Xi, Hua, Han. Human attention-inspired volume reconstruction method on serial section electron microscopy images. CYTOMETRY PART A[J]. 2021, 第 2 作者99(6): 575-585, http://dx.doi.org/10.1002/cyto.a.24332.[11] Zhao, Jie, Shen, Lijun, Liu, Fang, Zhao, Pan, Huang, Qi, Han, Hua, Peng, Lianmao, Liang, Xuelei. Quality metrology of carbon nanotube thin films and its application for carbon nanotube-based electronics. NANO RESEARCH[J]. 2020, 第 2 作者13(6): 1749-1755, http://lib.cqvip.com/Qikan/Article/Detail?id=7102671895.[12] Li, Weifu, Zhao, Xinghui, Peng, Jiangtao, Luo, Zhicheng, Shen, Lijun, Han, Hua, Zhang, Peng, Yang, Lei. A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2020, 第 5 作者17(2): 197-201, https://www.webofscience.com/wos/woscc/full-record/WOS:000510900300003.[13] Yuan, Jingbin, Zhang, Jing, Shen, Lijun, Zhang, Dandan, Yu, Wenhuan, Han, Hua. Massive Data Management and Sharing Module for Connectome Reconstruction. BRAIN SCIENCES[J]. 2020, 第 3 作者 通讯作者 10(5): https://doaj.org/article/13628387fb7c471196115e2094320315.[14] Li, Weifu, Luo, Zhicheng, Liu Chengbao, Liu, Jiazheng, Shen, Lijun, Xie, Qiwei, Han, Hua, Yang, Lei. l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2019, 第 5 作者16(1): 85-89, http://ir.ia.ac.cn/handle/173211/25319.[15] Zhao, Xinghui, Chen, Na, Li, Weifu, Peng, Jiangtao, Shen, Lijun. l(p)-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. REMOTESENSING[J]. 2019, 第 5 作者 通讯作者 11(16): https://www.webofscience.com/wos/woscc/full-record/WOS:000484387600049.[16] Chen, Xi, Shen, Lijun, Xie, Qiwei, Han, Hua, Tomaszewski, JE, Ward, AD. Skeleton-based Image Registration of Serial Electron Microscopy Sections. MEDICAL IMAGING 2019: DIGITAL PATHOLOGY. 2019, 第 2 作者10956: [17] Chen Xi, Xie Qiwei, Shen Lijun, Han Hua, IEEE. MORPHOLOGY-RETAINED NON-LINEAR IMAGE REGISTRATION OF SERIAL ELECTRON MICROSCOPY SECTIONS. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). 2018, 第 3 作者3833-3837, [18] Dong, Guodong, Zhao, Jie, Shen, Lijun, Xia, Jiye, Meng, Hu, Yu, Wenhuan, Huang, Qi, Han, Hua, Liang, Xuelei, Peng, Lianmao. Large-area and highly uniform carbon nanotube film for high-performance thin film transistors. NANO RESEARCH[J]. 2018, 第 3 作者 通讯作者 11(8): 4356-4367, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6315740&detailType=1.[19] Chen, Xi, Xie, Qiwei, Shen, Lijun, Han, Hua, IEEE. MORPHOLOGY-RETAINED NON-LINEAR IMAGE REGISTRATION OF SERIAL ELECTRON MICROSCOPY SECTIONS. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). 2018, 第 3 作者3833-3837, [20] Guodong Dong, Jie Zhao, Lijun Shen, Jiye Xia, Hu Meng, Wenhuan Yu, Qi Huang, Hua Han, Xuelei Liang, Lianmao Peng. Large-area and highly uniform carbon nanotube film for nigh-performance thin film transistors. 纳米研究:英文版[J]. 2018, 第 3 作者11(8): 4356-4367, http://lib.cqvip.com/Qikan/Article/Detail?id=676590965.[21] Zhao, Jie, Huang, Qi, Liu, Fang, Liang, Xuelei, Shen, Lijun, IEEE. Efficient and Quantitative Characterization of Carbon Nanotube Thin Films. 2018 9TH INTHERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN FOR THIN-FILM TRANSISTORS (CAD-TFT). 2018, 第 5 作者9-9, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000458325100005.[22] Yin Lei, Xiao Chi, Xie Qiwei, Chen Xi, Shen Lijun, Han Hua, IEEE. An Efficient Method for Neuronal Tracking in Electron Microscopy Images. 2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA). 2017, 第 5 作者1865-1870, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000426271700325.[23] Rao Qiang, Xiao Chi, Han Hua, Chen Xi, Shen Lijun, Xie Qiwei, Styner MA, Angelini ED. Deep Learning and Shapes Similarity for Joint Segmentation and Tracing single Neurons in SEM images. MEDICAL IMAGING 2017: IMAGE PROCESSING. 2017, 第 5 作者10133: [24] 谢启伟, 陈曦, 沈丽君, 李国庆, 马宏图, 韩华. 脑微观重建系统研究. 系统工程理论与实践[J]. 2017, 第 3 作者37(11): 3006-3017, https://d.wanfangdata.com.cn/periodical/xtgcllysj201711025.[25] 谢启伟, 陈曦, 沈丽君, 韩华, 肖驰, 饶强. Deep Learning and Shapes Similarity for Joint Segmentation and Tracing single Neurons in SEM images. MEDICAL IMAGING 2017: IMAGE PROCESSING. 2017, 第 3 作者10133: [26] Rao Qiang, Han Hua, Li Weifu, Shen Lijun, Chen Xi, Xie Qiwei, IEEE. Automatically Segmenting and Reconstructing Neurons in SEM images. 2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION. 2016, 第 4 作者1908-1915, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000387187800334.[27] 谢启伟, 陈曦, 沈丽君, 李伟夫, 韩华, 饶强. Automatically Segmenting and Reconstructing Neurons in SEM images. ICMA2016 PROCEEDINGS. 2016, 第 3 作者http://ir.ia.ac.cn/handle/173211/14642.[28] Chen, Xi, Xie, Qiwei, Shen, Lijun, Han, Hua, Chbeir, R, Yetongnon, K, Dipanda, A. Wrinkle Image Registration for Serial Microscopy Sections. 2015 11TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS). 2015, 第 3 作者23-26, http://dx.doi.org/10.1109/SITIS.2015.14.[29] Xiao, Zhiyun, Shen, Lijun, Peng, Silong. Image super-resolution based on null space pursuit. INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP). 2010, 第 2 作者1200-1203, http://www.irgrid.ac.cn/handle/1471x/973453.
科研活动
科研项目
( 1 ) 多模态多尺度脑图谱技术和平台研究, 参与, 国家任务, 2022-08--2027-07( 2 ) 微观脑网络分析与重构, 参与, 中国科学院计划, 2015-07--2017-06( 3 ) 突触水平神经大数据重建与分析平台, 参与, 地方任务, 2016-05--2018-12( 4 ) 生物序列高通量扫描电镜三维影像系统产业化, 参与, 地方任务, 2018-07--2020-06( 5 ) 灵长类全脑神经联接图谱计划, 参与, 中国科学院计划, 2017-01--2021-12( 6 ) 脑连接图谱绘制新技术, 参与, 中国科学院计划, 2018-01--2022-12( 7 ) 2035创新团队——脑认知功能图谱与类脑智能交叉研究平台, 参与, 研究所自主部署, 2020-05--2022-04( 8 ) 基于透射电镜的大视场病毒检测技术功能开发, 负责人, 中国科学院计划, 2020-09--2023-08