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北航宇航學院模式識別與智能系統導師介紹：周付根

導師詳細信息

姓名：周付根

性別：男

出生年份：1965

職稱：教授

院系：宇航學院

首次聘任導師時間：2008

現聘任導師一級學科名稱：控制科學與工程

現聘任導師二級學科名稱：模式識別與智能系統

聘任在第二學科培養博士生專業名稱：無

聘任在自主設置學科培養博士生專業名稱：無

主要研究方向及特色：視頻圖像處理技術及其應用技術（目標檢測、跟蹤與識別）,多模圖像配準與融合技術,生物醫學成像、圖像處理與識別技術，醫學圖像應用系統的研制與開發。

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

辦公電話：82338048,82316544

辦公地點：北航新主樓C座C406

通信地址：北京航空航天大學圖像中心

個人簡介：

周付根，男，1965年09月出生于江西省，北京航空航天大學宇航學院圖像中心主任，教授，博士生導師。1982年進入北京航空航天大學電子工程系學習，先后獲北京航空航天大學電子工程系學士學位，北京航空航天大學模式識別與智能系統專業碩士學位，北京航空航天大學模式識別與智能系統學科博士學位。中國科學院蘇州生物醫學工程研究所客座教授、博士導師。中國民主同盟海淀區高校專委副主任，中國宇航學會光電技術委員會常務委員，全國放射治療、核醫學和放射劑量學設備標準化技術委員會委員，中國生物醫學工程學會醫學物理分會理事、醫學影像專業委員會副主任委員。

2004年3月至8月到美國密歇根州威廉博蒙特（William Beaumont）醫院的研究院參加合作研究工作。曾獲部級科技成果獎5項，其中二等獎3項，三等獎2項。主持包括國家自然科學基金，北京市自然科學基金，航空科學基金,首都醫學發展基金，總裝863、國家863計劃，總裝預研和裝備研究項目等縱向、橫向課題30余項。參與編撰圖書4部。在包括國際著名刊物《Pattern Recognition》、《Optics Express》、《Journal of Biomedical Optics》等在內的國內外重要學術刊物上發表學術論文100余篇，其中SCI檢索30余篇，EI檢索60余篇，ISTP檢索20篇。指導碩士研究生50余人、博士研究生10人、留學生3人。其中碩士生3人獲北航優秀碩士研究生稱號，博士生1人獲北航優秀博士論文、全國百篇優秀博士論文提名，博士生1人獲北航十佳優秀論文獎,培養的工程碩士1人被評為“全國做出突出貢獻的工程碩士學位獲得者”。研制成功兩套裝備產品在XXX軍得到應用；研制成功的6套圖像處理及應用系統在醫療領域得到廣泛應用。

主講課程

數字信號處理，數字圖像處理，數字視頻處理

指導研究生

指導碩士研究生50余人、博士研究生13人、碩士留學生2人，博士留學生1人。其中三人獲北航優秀碩士研究生稱號，博士生1人獲北航優秀博士論文，全國百篇優秀博士論文提名，博士生1人獲北航十佳優秀論文獎。培養的工程碩士1人獲國家有突出貢獻工程碩士稱號。

研究方向

視頻圖像處理技術及其應用技術（目標檢測、跟蹤與識別）

多模圖像配準與融合技術

圖像數據壓縮與傳輸技術

生物醫學成像、圖像處理與識別

醫學圖像應用系統的研制與開發

科研成果

獲部級科技成果獎5項，其中二等獎三項，三等獎二項，其中：

（1）“遙感圖像四倍準實時分形壓縮原理樣機系統研制”1997年航空工業總公司科技進步三等獎（2）；

（2）“病理學真彩色圖像的某些專項模塊和遠程會診及多媒體教學數據庫的研究”2000年解放軍科技進步三等獎（2）；

（3）“真彩色醫學圖像分析系統”1994年解放軍科技進步二等獎（2）；

（4）“病理圖像分析系統在臨床上開發應用的研究”獲2002年度北京市科技進步二等獎（4）。

（5）“XXXX電子偵察船技偵系統-光電偵察分系統”，獲2008年度中國電子集團公司科技進步二等獎（4）。

已研制成功的醫學圖像應用系統：

1、“CMIAS系列多功能真彩色病理圖像分析系統”，獲北京市醫療器械準產許可證，注冊號：京藥管械（準）字2001第2210233號；

2、研發的“SRRS伽瑪射線頭部立體放射治療系統”，（研制了其中的治療計劃系統）獲國家醫療器械準產許可證，注冊號：國藥管械（準）字2002第3320342號；2004年底通過美國FDA論證，文檔編號第K041125，這也是中國唯一獲批的大型醫療設備。

3、研制的“IPTS-2000型立體放射治療系統”，獲國家醫療器械準產許可證，注冊號：國藥管械（準）字2002第3040048號；

4、“AeroTech立體定向框架”獲國家醫療器械試產許可證，注冊號：國食藥監械（試）字2004第3060358號；

5、“AeroTech立體定向手術計劃系統”，獲國家醫療器械試產許可證，注冊號：國食藥監械（試）字2004第3060394號；

6、研制的“放射性粒子近距離治療計劃系統”獲國家醫療器械試產許可證，注冊號：國藥管械（準）字2005第05-0699號。

7、研制成功“手術中放射治療計劃系統”、“顱內粒子植入治療計劃系統”；

發表論文及論著：

累計發表論文130余篇，其中SCI檢索30余篇，EI檢索60余篇，ISTP檢索15篇,近期刊出的15篇代表性論文：

（第一作者均為指導的學生或項目組成員）

[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.

論文列表

國際期刊：

[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號: 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號: 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，劉文艷，周孝寬.基于數據融合的腦組織圖像分割[J]，生物醫學工程學雜志.Vol.25(1),2008,pp:186-190。

[2]周付根,王紅霞,余續剛,閻蒂.基于圖像跟蹤的呼吸運動分析,中國生物醫學工程學報.Vol.26(5),2007,pp:652-657.

[3]周付根,史潔玉,王兆仲,劉志芳.基于光譜特性的高光譜圖像壓縮方案,宇航學報,Vol.27(5),pp.1023-1028,2006.(EI:070310362104)

[4]周蘭花,周付根.基于小波變換極大模的多模醫學圖像融合,中國體視學與圖像分析,Vol.8(4),pp.225-229,2003.

[5]胡賽榮,周付根.基于形變模型LevelSet方法的圖像分割,中國體視學與圖像分析,Vol.8(1),pp.49-54,2003.

[6]何春燕,周付根.雙目立體視覺系統定標誤差分析,中國體視學與圖像分析,Vol.8(4),pp.230-234,2003.

[7]杜振洲,周付根.基于幀間去相關的超光譜圖像壓縮方法,紅外與激光工程，Vol.33(6),pp.642-645,2004.(EI:05159032182)

[8]杜振洲,周付根.基于位平面編碼的超光譜圖像壓縮方法,中國體視學與圖像分析,Vol.9(1),pp.47-50,2004.

[9]胡影,周付根.一種基于HVS和DCT的數字水印算法,中國體視學與圖像分析,Vol.9(4),pp.228-232,2004.

[10]王兆仲,周付根,劉志芳,楊建峰.一種高精度的圖像匹配算法,紅外與激光工程，Vol.35(6),pp.751-755,2006.(EI:071110488397)

[11]蔣路帆,劉博,白相志,周付根.術中放療計劃軟件的開發及其關鍵技術研究,中國體視學與圖像分析,Vol.11(4),pp.292-296,2006.

[12]白相志,周付根.三維形體任意剖面輪廓線的提取方法,中國體視學與圖像分析,Vol.11(1),pp.63-66,2006.

[13]余續剛,周付根.基于圖像跟蹤的呼吸運動分析,中國體視學與圖像分析,Vol.11(1),pp.22-26,2006.

[14]史潔玉,周付根,劉志芳,基于一維DCT的高光譜點干涉圖像壓縮算法,中國儀器儀表學報,Vol.27(Suppl.),2261-2264,2006.(EI:064210187637)

[15]白相志,周付根.基于ConeBeamCT圖像的呼吸運動分析.生物醫學工程學雜志.Vol.25(6),2008.

[16]王兆仲,周付根.基于高斯差分濾波器的圖像光場矯正,紅外與激光工程，vol.29(6),pp.64-67,2000.

[17]王兆仲,趙宇,周付根,姜志國.血細胞圖像的自適應分割,中國體視學與圖像分析,vol.7(1),pp.49-52,2002.

[18]謝鳳英,姜志國,周付根.基于數學形態學的免疫細胞圖象分割,中國圖像圖形學報,vol.7(A)(11),pp.1119-1122,2002.

[19]周孝寬,周付根,朱曉宇.彩色圖象光斑的識別及分割,北京航空航天大學學報,vol.22(4),pp.495-499,1996.(EI:97073737513)

[20]王兆仲,周付根,姜志國.地形分析方法提取染色體特征,北京航空航天大學學報,vol.27(3),pp.369-372,2001.

[21]程子敬,周孝寬,周付根,王非.圖像數據實時壓縮技術研究,北京航空航天大學學報,vol.25(4),pp.458-461,1999.

[22]呂紹杰,孟偲,周付根,劉博,周曉君.基于視覺模型的C型臂投影圖像快速校正方法[J].高技術通訊,2010年第2期出版（EI）

[23]金挺,周付根,白相志.利用核密度估計的空基視頻運動目標檢測[J].紅外與激光工程,2011,V40(1):153-158.(EI).

[24]金挺,周付根,白相志.一種簡單有效的特征融合粒子濾波跟蹤算法.紅外與激光工程,2007,S2,290-293.

[25]林錦梅，周付根，金挺，佟愛華.空基平臺懸停視頻的穩像算法[J].儀器儀表學報，2008，29(8)：178-181.

[26]林錦梅，周付根，金挺.一種基于SIFT特征的空基動態視頻穩定技術[J].紅外與激光工程。

[27]劉兆英，周付根，白相志，基于PCA的紅外圖像區域特征選擇方法，航空兵器，2010,No.2,pp:17-20。

[28]劉兆英，周付根，白相志，基于小波不變矩的多模圖像特征提取及匹配技術，紅外與激光工程（增刊），2010,Vol.39,pp:567-572。

[29]劉兆英，周付根，白相志,薛斌黨，王暉，譚東杰，郭世偉，基于感興趣區域互信息的多模圖像配準方法，航空兵器，2011（已錄用）

[30]李忠華,周付根,白相志.一種基于GPU的體積CT快速重建算法,生物醫學工程學雜志,28(2),2011,238-242.

國際會議：

[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.長城2010國際醫學物理大會；
[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檢索)
[29] Bo Fan, Fugen Zhou, Li Li, “optimized and automatic multiscale contrast enhancement”, ICMET,2011，Dalian(EI/ISTP檢索)
[30] Bo Fan, Fugen Zhou,“Feature map guided medical image enhancement using (HE)lut mapping with anchor point group”,ICSPCC,2011, Xi’an(EI檢索) "
[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.