导师详细信息

姓名：周付根

性别：男

出生年份：1965

职称：教授

院系：宇航学院

首次聘任导师时间：2008

现聘任导师一级学科名称：控制科学与工程

现聘任导师二级学科名称：模式识别与智能系统

聘任在第二学科培养博士生专业名称：无

聘任在自主设置学科培养博士生专业名称：无

主要研究方向及特色：视频图像处理技术及其应用技术（目标检测、跟踪与识别）,多模图像配准与融合技术,生物医学成像、图像处理与识别技术，医学图像应用系统的研制与开发。

电子信箱：zhfugen@buaa.edu.cn,zhfugen@139.com

办公电话：82338048,82316544

办公地点：北航新主楼C座C406

通信地址：北京航空航天大学图像中心

个人简介：

周付根，男，1965年09月出生于江西省，北京航空航天大学宇航学院图像中心主任，教授，博士生导师。1982年进入北京航空航天大学电子工程系学习，先后获北京航空航天大学电子工程系学士学位，北京航空航天大学模式识别与智能系统专业硕士学位，北京航空航天大学模式识别与智能系统学科博士学位。中国科学院苏州生物医学工程研究所客座教授、博士导师。中国民主同盟海淀区高校专委副主任，中国宇航学会光电技术委员会常务委员，全国放射治疗、核医学和放射剂量学设备标准化技术委员会委员，中国生物医学工程学会医学物理分会理事、医学影像专业委员会副主任委员。

2004年3月至8月到美国密歇根州威廉博蒙特（William Beaumont）医院的研究院参加合作研究工作。曾获部级科技成果奖5项，其中二等奖3项，三等奖2项。主持包括国家自然科学基金，北京市自然科学基金，航空科学基金,首都医学发展基金，总装863、国家863计划，总装预研和装备研究项目等纵向、横向课题30余项。参与编撰图书4部。在包括国际著名刊物《Pattern Recognition》、《Optics Express》、《Journal of Biomedical Optics》等在内的国内外重要学术刊物上发表学术论文100余篇，其中SCI检索30余篇，EI检索60余篇，ISTP检索20篇。指导硕士研究生50余人、博士研究生10人、留学生3人。其中硕士生3人获北航优秀硕士研究生称号，博士生1人获北航优秀博士论文、全国百篇优秀博士论文提名，博士生1人获北航十佳优秀论文奖,培养的工程硕士1人被评为“全国做出突出贡献的工程硕士学位获得者”。研制成功两套装备产品在XXX军得到应用；研制成功的6套图像处理及应用系统在医疗领域得到广泛应用。

主讲课程

数字信号处理，数字图像处理，数字视频处理

指导研究生

指导硕士研究生50余人、博士研究生13人、硕士留学生2人，博士留学生1人。其中三人获北航优秀硕士研究生称号，博士生1人获北航优秀博士论文，全国百篇优秀博士论文提名，博士生1人获北航十佳优秀论文奖。培养的工程硕士1人获国家有突出贡献工程硕士称号。

研究方向

视频图像处理技术及其应用技术（目标检测、跟踪与识别）

多模图像配准与融合技术

图像数据压缩与传输技术

生物医学成像、图像处理与识别

医学图像应用系统的研制与开发

科研成果

获部级科技成果奖5项，其中二等奖三项，三等奖二项，其中：

（1）“遥感图像四倍准实时分形压缩原理样机系统研制”1997年航空工业总公司科技进步三等奖（2）；

（2）“病理学真彩色图像的某些专项模块和远程会诊及多媒体教学数据库的研究”2000年解放军科技进步三等奖（2）；

（3）“真彩色医学图像分析系统”1994年解放军科技进步二等奖（2）；

（4）“病理图像分析系统在临床上开发应用的研究”获2002年度北京市科技进步二等奖（4）。

（5）“XXXX电子侦察船技侦系统-光电侦察分系统”，获2008年度中国电子集团公司科技进步二等奖（4）。

已研制成功的医学图像应用系统：

1、“CMIAS系列多功能真彩色病理图像分析系统”，获北京市医疗器械准产许可证，注册号：京药管械（准）字2001第2210233号；

2、研发的“SRRS伽玛射线头部立体放射治疗系统”，（研制了其中的治疗计划系统）获国家医疗器械准产许可证，注册号：国药管械（准）字2002第3320342号；2004年底通过美国FDA论证，文档编号第K041125，这也是中国唯一获批的大型医疗设备。

3、研制的“IPTS-2000型立体放射治疗系统”，获国家医疗器械准产许可证，注册号：国药管械（准）字2002第3040048号；

4、“AeroTech立体定向框架”获国家医疗器械试产许可证，注册号：国食药监械（试）字2004第3060358号；

5、“AeroTech立体定向手术计划系统”，获国家医疗器械试产许可证，注册号：国食药监械（试）字2004第3060394号；

6、研制的“放射性粒子近距离治疗计划系统”获国家医疗器械试产许可证，注册号：国药管械（准）字2005第05-0699号。

7、研制成功“手术中放射治疗计划系统”、“颅内粒子植入治疗计划系统”；

发表论文及论著：

累计发表论文130余篇，其中SCI检索30余篇，EI检索60余篇，ISTP检索15篇,近期刊出的15篇代表性论文：

（第一作者均为指导的学生或项目组成员）

[1]Xiangzhi Bai, Changming Sun, and Fugen Zhou. Splitting touching cells based on concave points and ellipse fitting. Pattern Recognition, Vol.42(11), pp:2434-2446, 2009.
[2] Xiangzhi Bai, Fugen Zhou, Yongchun Xie, Ting Jin. Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region. Signal Processing, 2009, Vol.89(10), pp:1973–1989.
[3]Xiangzhi Bai, Fugen Zhou. Analysis of new top-hat transformation and the application for infrared dim small target detection. Pattern Recognition 43(6) (2010) 2145–2156.
[4] Xiangzhi Bai, Fugen Zhou, Ting Jin. Enhancement of dim small target through modified top-hat transformation under the condition of heavy clutter. Signal Processing 90(5) (2010) 1643–1654.
[5] Xiangzhi Bai, Fugen Zhou. Analysis of different modified top-hat transformations based on structuring element constructing. Signal Processing, 90(11) (2010) 2999-3003.
[6] Xiangzhi Bai, Fugen Zhou, Bindang Xue. Infrared image enhancement through contrast enhancement by using multi scale new top-hat transform. Infrared Physics & Technology 54 (2011) 61–69.
[7] Xiangzhi Bai, Fugen Zhou, Bindang Xue. Fusion of infrared and visual images through region extraction by using multi scale center-surround top-hat transform. Optics Express 19(9) (2011) 8444-8457.
[8]Liu Zhaoying, Zhou Fugen, Bai Xiangzhi, Iterative infrared ship targets segmentation based on multiple features, Pattern Recognition, 2014, available online.
[9]Liu Zhaoying, Zhou Fugen, Bai Xiangzhi, Yu xiyu, Automatic detection of ship target and motion direction in visual images, International journal of electronics, Vol.100, Issue 1, 2013.
[10]Bo, L., B. Xiangzhi, and Z. Fugen, Improved C-Arm cardiac cone beam CT based on alternative reconstruction and segmentation. Biomedical Signal Processing & Control, 2014.（Accepted）
[11]Liu, B., X. Bai, F. Zhou, et al., Mutual information based three-dimensional registration of rat brain magnetic resonance imaging time-series. Computers & Electrical Engineering, 2013. 39(5): p. 1473-1484.
[12]Bo, L., A. Justus, R. Anna, Fugen, Z., A novel technique for VMAT QA with EPID in cine mode on a Varian TrueBeam linac. Physics in Medicine and Biology, 2013. 58(19): p. 6683-6700.
[13]Li Tian, Cai Meng, and Fugen Zhou, “A Two-Level Task Scheduler on Multiple DSP System for OpenCL,” Advances in Mechanical Engineering, vol. 2014, Article ID 754835, 10 pages, 2014. doi:10.1155/2014/754835.
[14] Zhou, X., F. Zhou, X. Bai, et al., A boundary condition based deconvolution framework for image deblurring. Journal of Computational and Applied Mathematics, 2014. 261(0): p. 14-29.
[15]Xu, Z., Z. Fugen, and B. Xiangzhi. Blind deconvolution using a nondimensional Gaussianity measure. in Image Processing (ICIP), 2013 20th IEEE International Conference on. 2013.

论文列表

国际期刊：

[1] Linyan Cui, Bindang Xue, Lei Cao, Shiling Zheng,Wenfang Xue, Xiangzhi Bai,Xiaoguang Cao and Fugen Zhou. Irradiance scintillation for Gaussian-beam wave propagating through weak non-Kolmogorov turbulence. Optics Express. 2011, 19(18):16872-16884. (SCI, IF 2010 :3.749).
[2] Bindang Xue, Linyan Cui, Wenfang Xue, Xiangzhi Bai, and Fugen Zhou. Theoretical expressions of the angle-of-arrival variance for optical waves propagating through non-Kolmogorov turbulence. Optics Express. 2011, 19(9):8433-8443. (SCI, IDS号: 762NJ, IF 2010:3.749）
[3] Bindang Xue, Linyan Cui, Wenfang Xue, Xiangzhi Bai, and Fugen Zhou. Generalized modified atmospheric spectrum for optical wave propagating through non-Kolmogorov turbulence. Journal of the Optical Society of America A: Optics, Image Science, and Vision. 2011, 28(5): 912-916. (SCI, IDS号: 756PD, IF 2010:1.933)
[4] Zhu Liangen, Qin Shiyin, Zhou Fugen. Skin image segmentation based on energy transformation, Journal of Biomedical Optics, Vol. 9(2), 362-366, 2004. (SCI: 810KC, EI: 04238198118)
[5] Xiangzhi Bai, Fugen Zhou. Analysis of new top-hat transformation and the application for infrared dim small target detection. Pattern Recognition, 43(6) (2010) 2145–2156. (SCI, IF:3.279)
[6] Xiangzhi Bai, Changming Sun, and Fugen Zhou. Splitting touching cells based on concave points and ellipse fitting. Pattern Recognition, Vol.42(11), pp:2434-2446, 2009. (SCI, IF:3.279)
[7] Xiangzhi Bai, Fugen Zhou, Yongchun Xie, Ting Jin. Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region. Signal Processing, 2009, Vol.89(10), pp:1973-1989.(SCI, IF:1.256)
[8] Xiangzhi Bai, Fugen Zhou, Ting Jin. Enhancement of dim small target through modified top-hat transformation under the condition of heavy clutter. Signal Processing 90(5) (2010) 1643–1654.
[9] Xiangzhi Bai, Fugen Zhou, Yongchun Xie. New class of top-hat transformation to enhance infrared small targets. Journal of Electronic Imaging, Vol.17(3), pp:030501-1-030501-3, 2008. (SCI, IF:0.563)
[10] Xiangzhi Bai, Fugen Zhou. Top-hat selection transformation for infrared dim small target enhancement. The Imaging Science Journal, vol. 58, no. 2 pp: 112-117, 2010.
[11]Xiangzhi Bai, Fugen Zhou. Analysis of different modified top-hat transformations based on structuring element constructing. Signal Processing, 90(11) (2010) 2999-3003.
[12]Xiangzhi Bai, Fugen Zhou, Bindang Xue. Infrared image enhancement through contrast enhancement by using multi scale new top-hat transform. Infrared Physics & Technology 54 (2011) 61–69.
[13]Xiangzhi Bai, Fugen Zhou, Bindang Xue. Fusion of infrared and visual images through region extraction by using multi scale center-surround top-hat transform. Optics Express 19(9) (2011) 8444-8457.
[14]Liu Zhaoying, Zhou Fugen, Bai Xiangzhi, Iterative infrared ship targets segmentation based on multiple features, Pattern Recognition, 2014, available online. (IF: 2.292)
[15]Liu Zhaoying, Zhou Fugen, Bai Xiangzhi, Yu xiyu, Automatic detection of ship target and motion direction in visual images, International journal of electronics, Vol.100, Issue 1, 2013. (IF: 0.509)
[16]Bo, L., B. Xiangzhi, and Z. Fugen, Improved C-Arm cardiac cone beam CT based on alternative reconstruction and segmentation. Biomedical Signal Processing & Control, 2014.（Accepted, IF：1.074）
[17]Liu, B., X. Bai, F. Zhou, et al., Mutual information based three-dimensional registration of rat brain magnetic resonance imaging time-series. Computers & Electrical Engineering, 2013. 39(5): p. 1473-1484. （IF:0.928）
[18]Bo, L., A. Justus, R. Anna, Fugen,Z., A novel technique for VMAT QA with EPID in cine mode on a Varian TrueBeam linac. Physics in Medicine and Biology, 2013. 58(19): p. 6683-6700. (IF:2.701)
[19]Li Tian, Cai Meng, and Fugen Zhou, “A Two-Level Task Scheduler on Multiple DSP System for OpenCL,” Advances in Mechanical Engineering, vol. 2014, Article ID 754835, 10 pages, 2014. doi:10.1155/2014/754835 (IF:1.062)
[20]Zhou, X., F. Zhou, X. Bai, et al., A boundary condition based deconvolution framework for image deblurring. Journal of Computational and Applied Mathematics, 2014. 261(0): p. 14-29. (IF: 0.989)

中文期刊：

[1]周付根，刘文艳，周孝宽.基于数据融合的脑组织图像分割[J]，生物医学工程学杂志.Vol.25(1),2008,pp:186-190。

[2]周付根,王红霞,余续刚,阎蒂.基于图像跟踪的呼吸运动分析,中国生物医学工程学报.Vol.26(5),2007,pp:652-657.

[3]周付根,史洁玉,王兆仲,刘志芳.基于光谱特性的高光谱图像压缩方案,宇航学报,Vol.27(5),pp.1023-1028,2006.(EI:070310362104)

[4]周兰花,周付根.基于小波变换极大模的多模医学图像融合,中国体视学与图像分析,Vol.8(4),pp.225-229,2003.

[5]胡赛荣,周付根.基于形变模型LevelSet方法的图像分割,中国体视学与图像分析,Vol.8(1),pp.49-54,2003.

[6]何春燕,周付根.双目立体视觉系统定标误差分析,中国体视学与图像分析,Vol.8(4),pp.230-234,2003.

[7]杜振洲,周付根.基于帧间去相关的超光谱图像压缩方法,红外与激光工程，Vol.33(6),pp.642-645,2004.(EI:05159032182)

[8]杜振洲,周付根.基于位平面编码的超光谱图像压缩方法,中国体视学与图像分析,Vol.9(1),pp.47-50,2004.

[9]胡影,周付根.一种基于HVS和DCT的数字水印算法,中国体视学与图像分析,Vol.9(4),pp.228-232,2004.

[10]王兆仲,周付根,刘志芳,杨建峰.一种高精度的图像匹配算法,红外与激光工程，Vol.35(6),pp.751-755,2006.(EI:071110488397)

[11]蒋路帆,刘博,白相志,周付根.术中放疗计划软件的开发及其关键技术研究,中国体视学与图像分析,Vol.11(4),pp.292-296,2006.

[12]白相志,周付根.三维形体任意剖面轮廓线的提取方法,中国体视学与图像分析,Vol.11(1),pp.63-66,2006.

[13]余续刚,周付根.基于图像跟踪的呼吸运动分析,中国体视学与图像分析,Vol.11(1),pp.22-26,2006.

[14]史洁玉,周付根,刘志芳,基于一维DCT的高光谱点干涉图像压缩算法,中国仪器仪表学报,Vol.27(Suppl.),2261-2264,2006.(EI:064210187637)

[15]白相志,周付根.基于ConeBeamCT图像的呼吸运动分析.生物医学工程学杂志.Vol.25(6),2008.

[16]王兆仲,周付根.基于高斯差分滤波器的图像光场矫正,红外与激光工程，vol.29(6),pp.64-67,2000.

[17]王兆仲,赵宇,周付根,姜志国.血细胞图像的自适应分割,中国体视学与图像分析,vol.7(1),pp.49-52,2002.

[18]谢凤英,姜志国,周付根.基于数学形态学的免疫细胞图象分割,中国图像图形学报,vol.7(A)(11),pp.1119-1122,2002.

[19]周孝宽,周付根,朱晓宇.彩色图象光斑的识别及分割,北京航空航天大学学报,vol.22(4),pp.495-499,1996.(EI:97073737513)

[20]王兆仲,周付根,姜志国.地形分析方法提取染色体特征,北京航空航天大学学报,vol.27(3),pp.369-372,2001.

[21]程子敬,周孝宽,周付根,王非.图像数据实时压缩技术研究,北京航空航天大学学报,vol.25(4),pp.458-461,1999.

[22]吕绍杰,孟偲,周付根,刘博,周晓君.基于视觉模型的C型臂投影图像快速校正方法[J].高技术通讯,2010年第2期出版（EI）

[23]金挺,周付根,白相志.利用核密度估计的空基视频运动目标检测[J].红外与激光工程,2011,V40(1):153-158.(EI).

[24]金挺,周付根,白相志.一种简单有效的特征融合粒子滤波跟踪算法.红外与激光工程,2007,S2,290-293.

[25]林锦梅，周付根，金挺，佟爱华.空基平台悬停视频的稳像算法[J].仪器仪表学报，2008，29(8)：178-181.

[26]林锦梅，周付根，金挺.一种基于SIFT特征的空基动态视频稳定技术[J].红外与激光工程。

[27]刘兆英，周付根，白相志，基于PCA的红外图像区域特征选择方法，航空兵器，2010,No.2,pp:17-20。

[28]刘兆英，周付根，白相志，基于小波不变矩的多模图像特征提取及匹配技术，红外与激光工程（增刊），2010,Vol.39,pp:567-572。

[29]刘兆英，周付根，白相志,薛斌党，王晖，谭东杰，郭世伟，基于感兴趣区域互信息的多模图像配准方法，航空兵器，2011（已录用）

[30]李忠华,周付根,白相志.一种基于GPU的体积CT快速重建算法,生物医学工程学杂志,28(2),2011,238-242.

国际会议：

[1] Fugen Zhou, Xiangzhi Bai, Yongchun Xie, Ting Jin. Marker based watershed to segment dim infrared target through image enhancement. Proceedings of The 7th International Symposium on Instrumentation and Control Technology, Beijing, China, Proceedings of SPIE, Vol.7128, pp.71280o.
[2] Fugen Zhou, Xiangzhi Bai, Ting Jin, Zhaoying Liu. Touching cells splitting based on watershed and splitting line finding. (ICIECS 2009), Proceedings of International Conference on Information Engineering and Computer Science, Wuhan, China, 2009, pp: 1120-1123, (EI)
[3] Fugen Zhou, Xiangzhi Bai, Bindang Xue, Zhaoying Liu, Ting Jin, Bo Liu, Verification of Radiotherapy Plan by Using Image based Breathing Motion Analysis. Proceedings of International Conference on Circuit and Signal Processing, Shanghai, China, 2010, pp: 197-200. (EI)
[4] Wang Zhaozhong, Qi Feihu, Zhou Fugen. A discontinuous finite element method for image denoising, Lecture Notes in Computer Science, vol.4141, 116-125, 2006. (SCI:BFF15, EI: 064210182318, ISTP: BFF15)
[5] Wang Zhaozhong, Zhou Fugen, Qi Feihu. Inpainting Thick Image Regions using Isophote Propagation , IEEE International Conference on Image Processing, pp.689-692, 2006. (ISTP：BGA25)
[6] Bai Xiangzhi, Zhou Fugen. Edge detection based on mathematical morphology and iterative thresholding. 2006 International Conference on Computational Intelligence and Security. Guangzhou, China, pp: 1849 – 1852, 2006, IEEE (EI: 080711098137, ISTP:BGY38).
[7] Bai Xiangzhi, Zhou Fugen, Jin Ting, Xie Yongchun. Infrared small target detection and tracking under the conditions of dim target intensity and clutter background. Proceedings of SPIE, vol.6786, pp: 67862M-1–67862M-9, 2007. (EI: 081811235977, ISTP: BHK04)
[8] Xiangzhi Bai, Fugen Zhou, Yongchun Xie, Ting Jin. Adaptive Morphological Method for Clutter Elimination to Enhance and Detect Infrared Small Target. The Third International Conference on Internet Computing for Science and Engineering. (IEEE CS). Harbin, China, pp:47-52, 2008. (EI 源，ISTP 源)
[9] Xiangzhi Bai, Fugen Zhou, Yongchun Xie, Ting Jin. Modified Top-hat transformation Based on Contour Structuring Element to Detect Infrared Small Target. Proceedings of The 3rd IEEE Conference on Industrial Electronics and Applications. (IEEE), Holiday Inn Atrium, Singapore, 2008, Vol.1, pp:575-579. (EI)
[10] Ting Jin, Xiangzhi Bai, Fugen Zhou, Yongchun Xie. Simplification of Small Target Tracking by Using Motion Properties to Reduce False Alarms in Clutter. Proceedings of The 3rd IEEE Conference on Industrial Electronics and Applications. (IEEE) , Holiday Inn Atrium, Singapore, 2008, Vol.2, pp:1114-1118.
[11] Jin Ting, Zhou Fugen, Bai Xiangzhi. Moving Vehicles Detection in Airborne Video. International Symposium on Information Science and Engineering, ISISE '08, Shanghai, China, 2008, V2:697-701. (EI, ISTP Compendex)
[12] Jin Ting, Zhou Fugen, Bai Xiangzhi. Multiple cues fusion for object tracking with particle filter in infrared image. International Symposium on Photoelectronic Detection and Imaging, Beijing, China, 2009, 73833W-73833W-7. (EI, ISTP Compendex)
[13] Xiangzhi Bai, Changming Sun, Fugen Zhou. Touching Cells Splitting by Using Concave Points and Ellipse Fitting. Proceedings of Digital Image Computing: Techniques and Applications (DICTA), Canberra, Australia, 2008, pp:271-278.
[14] Bai Xiangzhi, Zhou Fugen, Jin Ting, Liu Zhaoying. Watershed segmentation of infrared target based on multi-scale mathematical morphology and target enhancement. Proceedings of International Symposium on Photoelectronic Detection and Imaging, Beijing, China, 2009. vol.7383, Proceedings of SPIE, pp:73832H.
[15] Xiangzhi Bai, Fugen Zhou, Ting Jin, Zhaoying Liu. Number extraction in document images based on mathematical morphology. Proceedings of International Conference on Image Processing and Pattern Recognition in Industrial Engineering, Xi’an, China, Proceedings of SPIE, vol. 7820, pp: 78201V, 2010.
[16] Xiangzhi Bai, Shuhang Gu, Fugen Zhou. Entropy Powered Image Fusion Based on Multi Scale Top-hat Transform. Proceedings of The 3rd International Congress on Image and Signal Processing, Yantai, China, 2010, pp: 1083-1087. (EI).
[17] Xiangzhi Bai, Fugen Zhou. Unified Form for Multi-Scale Top-hat Transform Based Algorithms. Proceedings of The 3rd International Congress on Image and Signal Processing, Yantai, China, 2010, pp: 1097-1100. (EI).
[18] Xiangzhi Bai, Fugen Zhou. New alternating sequential filters and the application for impulsive noise removal. Proceedings of International Congress on Image and Signal Processing, Yantai, China, 2010, pp: 1088-1091. (EI).
[19] Xiangzhi Bai, Fugen Zhou. Multi scale top-hat transform based algorithm for image enhancement. International Conference on Signal Processing, Beijing, China, 2010, pp:797-800. (EI).
[20] Xiangzhi Bai, Fugen Zhou. Multi structuring element top-hat transform to detect linear features. International Conference on Signal Processing, Beijing, China, 2010, pp: 877-880. (EI).
[21] Liu Bo, Zhou Fugen. Automated contour generation using deformable registration for 4D radiation therapy[C]. Great Wall 2008 International Congress on Medical Physics & The 14th National Annual Meeting of CSMP, 2008.
[22] Bo Liu, Fugen Zhou, Hongbin Han, etc. Mutual information based 3D Registration of Mouse Brain MRI Time-series[C]. The 4th International Conference on BioMedical Engineering and Informatics, Shanghai, China, 2011. (Accepted, EI Source)
[23] Shan Zhang, Hongbin Han, Zhaoying Liu, Bo Liu, Fugen Zhou. “Multi-modal Medical Image Registration based on Phase Congruency and Quantitative-Quantitative Mutual Information”. The Seventh International Symposium on Multispectral Image Processing & Pattern Recognition, Guilin, 2011.
[24] Shan Zhang, Zhaoying Liu, Bo Liu, Fugen Zhou. “Multi-modal medical image registration by using salient phase congruency and regional mutual information”, The 4th International Congress on Image and Signal Processing, Shanghai, 2011."
[25] Shaojie Lv,Cai Meng,Fugen Zhou,Bo Liu,Xiaojun Zhou. Visual Model Based C-arm System Calibration and Image Correction[C].2009 2nd International Congress on BioMedical Engineering and Informatics. Tianjin,China,2009,10:454-458（EI）
[26] Shaojie Lv, Fugen Zhou, Shouping Xu, Bo Liu. Dose Verification based on EPID Image [C].Great Wall 2008 International Congress on Medical Physics And The 14th National A -nnual Meeting of Medical Physics. Beijing, China,2008,11:27
[27] Huimin Guo, Fugen Zhou, Bo Liu, Xiangzhi Bai, Ting Jin. Automatic lung Parenchyma Segmentation for 4D CT Image.长城2010国际医学物理大会；
[28] Bo Fan, Fugen Zhou, Hongbin Han “ Medical image enhancement based on modified lut-mapping derivative and multi-scale layer contrast modification”,CISP,2011，Shanghai(EI/ISTP检索)
[29] Bo Fan, Fugen Zhou, Li Li, “optimized and automatic multiscale contrast enhancement”, ICMET,2011，Dalian(EI/ISTP检索)
[30] Bo Fan, Fugen Zhou,“Feature map guided medical image enhancement using (HE)lut mapping with anchor point group”,ICSPCC,2011, Xi’an(EI检索) "
[31] Bing Pu, Fugen Zhou, Xiangzhi Bai. Particle filter based on color feature with contour information adaptively integrated for object tracking[C], ISCID2011
[32] Zhaoying Liu, Fugen Zhou, Xiangzhi Bai, ”Target Location for IR Image Based on IR/visual Image Registration”, International Symposium on Photoelectronic Detection and Imaging , Beijing, China, 2009, pp: 738336 (EI)
[33] LIU Zhao-ying, ZHOU Fu-gen, BAI Xiang-zhi, et.al. “Multi-modal image registration by mutual information based on optimal region selection”. ICINA 2010, Vol. 2, pp: V2-249- V2-253 (EI)."
[34] Zhu Liangen, Zhou Fugen. A technique for roof-edge detection based on morphological method, Proceedings of SPIE, vol.4550, 368-373, 2001. (EI: 02447167039, ISTP)
[35] Zhou Xiaokuan, Zhou Fugen, Jiang zhiguo. “Image Data Error Even Distributed Coding”, Proceedingss of International Symposium on Satellite Communication And Remote Sensing(XIAN CHINA ) Sep 22-26 1997.
[36] Li Zhonghua, Zhou Fugen, Bai Xiangzhi. GPU Based Acceleration Architecture for Image Enhancement in Spatial Domain. Proceedings of International Conference on Information Science and Engineering, Hangzhou, China, 2010, pp: 3733-3736.
[37]Liu Zhaoying, Zhou Fugen, Bai Xiangzhi, Infrared ship target image segmentation based on region and shape features," Image Analysis for Multimedia Interactive Services (WIAMIS), 2013 14th International Workshop on , vol., no., pp.1,4, 3-5 July 2013, Paris.
[38]Liu Zhaoying, Zhou Fugen, Bai Xiangzhi, et.al. Multi-modal image registration by mutual information based on optimal region selection. ICINA 2010, Vol. 2, pp: V2-249- V2-253.
[39]Liu Zhaoying, Zhou Fugen, Bai Xiangzhi, Target location for IR image based on IR/visual image registration, International Symposium on Photo electronic Detection and Imaging , Beijing, China, pp: 738336, 2009.
[40]Liu, B. and F. Zhou, L1 and total variation regularized C-arm cardiac cone beam CT reconstruction. AIP Conference Proceedings, 2013. 1559(1): p. 313-314.
[41]Bo, L., B. XiangZhi, Z. FuGen, et al. Mutual information based 3D registration of rat brain MRI time-series. International Conference on BioMedical Engineering and Informatics. 2011.
[42]Liu, B., J. Adamson, A. Rodrigues, et al. WE-G-108-08: A Novel Technique for VMAT QA with EPID in Cine Mode On Varian TrueBeam. in 55th Annual Meeting & Exhibition of AAPM. 2013. Indianapolis: AAPM.
[43]Xu, Z., Z. Fugen, and B. Xiangzhi. Blind deconvolution using a nondimensional Gaussianity measure. in Image Processing (ICIP), 2013 20th IEEE International Conference on. 2013.
[44]Xiong, X., F. Zhou, X. Bai, et al. IR characteristic simulation of city scenes based on radiosity model in International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications. 2013. Beijing, China.
[45]Xuang, X., L. Bo, and Z. Fugen. Hessian-based vessel enhancement combined with directional filter banks and vessel similarity. in 2013 ICME International Conference on Complex Medical Engineering (CME). 2013.
[46]Bin, L., L. Bo, Z. Fugen, et al. A Novel Approach to Intra-operative Planning for Prostate Brachytherapy. in World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China. 2013. Springer Berlin Heidelberg.
[47]Yu, X., F. Zhou, X. Bai, et al. Supervised image segmentation using learning and merging. Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on. 2013.
[48]Jianjun Zhou, Fugen Zhou, Single Image Dehazing Motivated by Retinex Theory. IEEE Proceedings, 2013 2nd IMSNA,Toronto,Canada.

国内会议：

[1]周付根,遥感图像压缩若干关键技术的几点考虑（大会特约报告），全国光电技术学术交流会，2005年，中国苏州.

[2]周付根,李哲涛,一种有效的遥感图像压缩方法,全国光电技术学术交流会，2005年，中国苏州.

[3]周付根,刘华,基于混沌的JPEG图像加密方法,全国光电技术学术交流会，2005年，中国苏州.

[4]王兆仲,周付根.血细胞图像的自适应分割,中国图象图形学会第十届全国图像图形学术会议（CIG’2001）和第一届全国虚拟现实技术研讨会（CVR’2001）,pp.182-183,2001.

[5]程子敬,周孝宽,周付根,王飞.多模式自适应图象实时压缩系统,第九届全国图像图形科技大会,西安,1998.

[6]尤玉虎,周付根,周孝宽,基于结构描述的图像压缩方法,全国光电技术学术交流会，2005年，中国苏州.

[7]刘博，白相志，蒋路帆，周付根.一种数字影像重建算法及其增强技术,第十一届中国体视学与图像分析学术会议，宁波,pp.349-352,2006.

[8]刘兆英，周付根，白相志，基于相位保持的红外图像预处理方法，第三届红外成像系统仿真、测试与评价技术研讨会，红外技术，2011（已录用）.

[9]闫鹏,周付根,吴金中,张彩梅,田立,刘翔宇.基于双TMS320DM648的视频处理系统硬件设计[A].第十五届全国图象图形学学术会议论文集,2010,12.

[10]田立，周付根，史洁玉，多DSP并行系统及其应用，第五届全国信息获取与处理学术会议,2007年.

[11]蒲兵，周付根，白相志.粒子滤波目标跟踪的GPU加速[C]，北京航空航天大学研究生学术论坛,2011,9

[12]刘博，周付根.基于VTK的三维交互剖切技术实现[C].北京航空航天大学第三届研究生学术论坛航天科学分论坛，2006:145-149.

[13]吕绍杰,周付根,徐寿平,刘博.基于EPID的剂量验证研究[C].北京:北京航空航天大学第六届研究生学术论坛,2009,10.

[14]基于空间预测与变换的医学图像压缩方法,2008第二届仪器仪表、自动化和集成技术大会,仪器仪表学报（增刊），2008,29(8).

参与编写的图书

[1]合作出版：“系列多媒体病理诊断彩色图像数据库”电子出版物，北京航空航天大学出版社，李维华主编，姜志国，周付根，赵宇软件设计，1998年3月出版。

[2]参与编写《医院管理学》-《信息管理分册》，并撰写第28章“病理图文管理系统”，人民卫生出版社，曹荣桂等主编，2003年5月出版。

[3]参与编写《放射治疗学/新技术进展》，并撰写“三维近距离放射治疗计划系统及其应用”部分，北京科学技术出版社，申文江等主编，2003年4月。

[4]参与编写《放射性粒子组织间近距离治疗前列腺癌》，并撰写“国产放射性粒子组织间近距离治疗计划系统”部分，北京大学医学出版社，王俊杰主编，2007年8月。