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石争浩(博导)

发布时间:2021-03-06来源: 作者:石争浩

石争浩

教授、博导、校学术委员会委员

研究领域:图像处理、计算机视觉、人工智能

电子邮件:ylshi@xaut.edu.cn

联系电话:18182446869

 

石争浩,博士,教授,博导,西安理工大学学术委员会委员,CCF杰出会员,IEEE高级会员,浙江省台州市500精英人才”,陕西省临床医学工程学会副会长,陕西省计算机学会常务理事,陕西省计算机学会《计算机视觉技术专业委员会》主任委员,陕西省计算机学会《生物医学智能计算专业委员会》副主任委员,西安理工大学《智能图像处理及应用》科研团队负责人,主要研究方向为机器视觉、医学图像处理及机器学习,以第一作者或通信作者发表学术论文60篇,授权发明专利15项(其中南非发明专利1项),获陕西省科技进步二等奖2项目(排名第一1),西安科技进步二等奖1项(排名第一)陕西高等学校科学技术二等奖3项(排名第一),陕西省计算机学会科技进步二等奖2项(排名第一),2022Wiley威立中国开放科学高贡献作者”

 

招生信息

诚挚邀请有志于从事图像处理、计算机视觉、医学影像计算机辅助诊断和深度学习领域研究的青年学子报考/申请硕士、博士!诚挚邀请有志于来课题组攻读研究生的学生提前加入本组,开展科研训练!报考博士/硕士/申请实习的要求:

*了解深度学习基础知识,特别是关于图像分割、分类、目标检测、目标识别等方面的知识

* 熟悉 CNNTransformer结构以及相关的开源工具(TensorFlowPyTorch等)

* 熟悉 C++Python编程

* 具有良好的团队合作以及沟通能力

* 加分项:有大规模数据处理与模型训练的经验

其他信息不及备载,请对图像处理、计算机视觉和医学影像和数据分析感兴趣的同学与我联系(邮箱:ylshi@xaut.edu.cn),并欢迎大家来实验室参观。

1、教育背景

20087-20097月  名古屋工业大学计算机科学与工程系 博士后

20019-20053月  西安微电子技术研究所计算机系统结构专业  工学博士

19979-20006月  西安理工大学计算机科学系计算机应用专业   工学硕士

19939-19957  大连理工大学计算机科学系软件工程专业     本科(辅修专业)

     19909-19957月  大连铁道学院材料工程系铸造专业           本科

2、工作经历

202011-现在                西安理工大学计算机科学与工程学院  教授  博士/硕士导师

20235-202310月  日本爱知县立大学计算机科学与工程学院 国家公派高级访问学者

201912-202011 西安理工大学计算机科学与工程学院  教授  硕士生导师

201612-201712月 北卡罗列纳大学教堂山分校   国家公派访问学者

20097-201512    西安理工大学计算机科学与工程学院 系主任  副教授  硕士研究生导师

20078-20087月   芝加哥大学医学影像研究中心 研究员

20064-20083月   名古屋工业大学计算机科学与工程系 博士后

20056-20064月   西安理工大学计算机科学与工程学院 副教授 硕士研究生导师

200510-20056月  西安理工大学计算机科学与工程学院 副教授

20006-200510月  西安理工大学计算机科学与工程学院 讲师

19957-19979月   西安车辆工厂 助理工程师    

3社会工作及学术兼职

   1)学术团体及机构任职

陕西省临床医学工程学会   副会长                           202410-目前

陕西省计算机学会                      常务理事                        202312-目前

陕西省计算机学会 计算机视觉专业委员会 主任委员             20223-目前

陕西省计算机学会 生物医学智能计算专业委员会 副主任委员     20212-目前

教育部学位与研究生教育发展中心      评审专家          20095-目前
中国计算学会体系结构专业委员会 委员                                200711-目前

中国图形图像学会多媒体专业委员会 委员                           202008-目前

编委,Electronics2023.03-目前

编委,Frontiers in Artificial Intelligence 2021.07-目前

编委,中国图形图像学报,2020.11-目前

编委,计算机技术与发展,2022.08-目前

 

2)学术组织会员

IEEE 高级会员                  202312-目前

中国计算机学会 杰出会员        202010-目前

中国图象图形学会 高级会员      202111-目前

4主要研究领域

    [1] 机器视觉及图像处理

[2] 深度学习及其应用

5、科技奖励和荣誉

[21] 基于深度学习的降质图像增强技术及应用,陕西省计算机学会科技进步二等奖(完成人),2024

[20] 结合先验的医学图像智能处理方法及应用,陕西高等学习科学技术优秀成果二等奖(完成人)2024

[19] 医学图像智能处理及应用,陕西省计算机学会科技进步二等奖(完成人),2022

[18] Wiley威立中国开放科学高贡献作者”奖,2022

[17] 中国致公党陕西省“先进工作者”,2022

[16] 中国图象图形学报,优秀编委,2022

[15] 中国图象图形学报,优秀编委,2021

[14] 陕西省计算机学会,优秀学会工作者,2021

[13] 陕西省计算机学会,优秀硕士论文指导教师,2020

[12] 浙江省台州市“500精英人才荣誉称号,2019.03

[11] 西安理工大学 科研先进个人,2018.12

[10] 西安理工大学 优秀硕士论文指导教师,2017.10

[9] 低辩度图像增强及兴趣图像分割技术应用研究陕西科学技术二等奖(完成人), 2017.03

[8] 西安理工大学 优秀硕士论文指导教师,2016.10

[7] 基于人眼视觉多尺度机制的感兴趣区域图像增强及分割技术研究,陕西高等学校科学技术等奖(第一完成人), 2016.2

[6] 基于图像的人脸识别关键技术研究,陕西科学技术二等奖(第四完成人), 2015.5

[5] 基于图像处理的肺结节检测关键技术研究,西安市科学技术进步二等奖(第一完成人)2014.03

[4] 面向医学X胸片影像后处理的图像处理关键技术研究,陕西高等学校科学技术三等奖(第一完成人), 2014.1

[3] 西安理工大学  优秀本科生指导教师,2013.12

[2] 西安理工大学计算机学院 优秀本科生指导教师 2012.12

[1] 基于图像的人脸识别关键技术研究,陕西高等学校科学技术二等奖(第四完成人), 2011.5

6、主持或参与科研项目

[20] 陕西省计算机学会-西安翔腾电子联合基金重点基金项目,XT-QC-202309-119281,基于深度学习的广域目标搜索及定位算法研究,2023.11-2024.12,20万元,在研,主持

[19].国家自然科学基金面上基金项目,62076198,基于动态心电信号深度神经网络分析的阻塞性睡眠呼吸暂停早期预警研究2021/01-2024/12,20万元,在研,子课题主持(合作项目)

[18].陕西省重点研发计划项目,2020GXLH-Y005,基于动态心电信号的儿童阻塞性呼吸暂停低通气综合症深度神经网络分析方法2020/01/01-2022/12/31,40万元,在研,子课题主持(合作项目)

[17].陕西省自然科学研究项目,2020JM-463面向心脏性猝死预警的动态心电信号深度学习分析方法2020/01/01-2021/12/31,4万元,在研,主持

[16].国家自然科学基金面上基金项目,61872290,弱光低照多光源互扰尘霾图像增强方法及应用研究,2019/01-2021/12,16万元,在研,主持

[15].国家重点研发计划项目,2018YFB1004905,多模态自然交互虚拟融合开放式实验教学环境,2018/01/01-2020/12/31,390万元,在研,第一参与

[14].西安市碑林区科技计划项目,GX1619,基于图像的中国古代书法碑刻数字保护若干关键问题研究,2016/06/01-2018/05/31,2万元,已结题,主持

[13].西安市科技计划项目,2017080CG/RC043(XALG011),基于单视图的多姿态人脸识别技术研究,2017/01/01-2018/12/31,5万元,在研,第一参与

[12].国家自然科学基金青年科学基金项目,61401355,基于梯度域计算模型的彩色图像去运动模糊与特征提取方法,2015/01-2017/12,24万元,已结题,第一参与

[11].陕西省自然科学研究项目,2014JQ8299,梯度域计算模型研究及其图像恢复与不变性特征提取应用,2014/05/01-2015/04/31,2万元,已结题,第一参与

[10].教育部博士点基金项目,400221327,限制学习算法研究,2013/11/01-2016/12/01,4万元,已结题,参与

[9].陕西省教育厅自然科学专项,2013JK1136,基于CT的肺结节图像检测及分类关键技术研究,2013/07/01-2015/06/31,2万元,已结题,主持

[8].西安市碑林区科技计划项目,GX1213,基于手绘草图的三维动画建模方法研究,2012/06/01-2014/05/31,3万元,已结题,主持

[7].陕西省教育厅自然科学专项,2010JK714,X胸片肺节点计算机辅助检测关键技术及新方法研究,2011/01/01-2012/12/31,2万元,已结题,主持

[6].陕西省自然科学研究项目,2010JM8028,人工内分泌计算模型及其应用研究,2010/09/01-2012/08/31,3万余,已结题,第一参与

[5].国家自然科学基金青年科学基金项目,60603026,分布式协同免疫网络及其应用研究,2007/01-2009/12,24万元,已结题,第一参与

[4]美国国家健康研究院研究基金项目(No.CA098119):基于MTANN神经网络的胸片肋骨减影技术研究2008.07-2009.04 (参与)

[3].美国国家健康研究院研究基金项目(R01CA120549):基于MTANN神经网络的胸片检查诊断系统研究2007.04-2009.04 (参与)

[2]. 日本Hori科学振兴财团基金项目:动态交通场景车辆的定位和追踪技术研究2007.01-2008.12 (主持)

[1]. 日本文部省学术振兴财团基金项目(No.80213073):感性互动机器人关键技术研究2006.04-2007.01主持

7学术发表

1期刊论文

2024

[49] Chengjian Li, Zhenghao Shi,, Na Li, Zhenzhen You,Yitong Zhang ,Xiaoyong Ren ,Xinhong Hei ,Haiqin Liu,"OSAMamba: An Adaptive Bidirectional Selective State Space Model For OSA Detection" in IEEE Transactions on Instrumentation and Measurement, Accepted.(通讯作者)

[48] Chengjian Li, Zhenghao Shi, Zhenzhen You,Na Li,Liang Zhou, Zhijun Zhang, Lulu Ye,Yitong Zhang ,Xiaoyong Ren ,Xinhong Hei ,Haiqin Liu,"DRLFormer:A Data Rebalancing Loss Constrained Light Transformer For OSA Detection," in IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2024.3440369.(通讯作者)

[47] Na Li, Jinjie Xiao , Ning Mao, Dapeng Cheng, Xiaobo Chen, Feng Zhao, Zhenghao ShiJoint learning of multi-level dynamic brain networks for autism spectrum disorder diagnosisComputers in Biology and MedicineVolume 171, March 2024, 108054.(共同通讯作者)

[46]尤珍臻,姜明,石争浩,都双丽,赵明华,多尺度分割和误差引导生成对抗网络的神经元分割,计算机辅助设计与图形学学报,2024,(录用,通讯作者)

2023

[45] 石争浩,周亮,李成建,张治军,张一彤,尤珍臻,罗靖,陈敬国,刘海琴,赵明华,黑新宏,任晓勇.深度学习方法在睡眠呼吸暂停检测中的研究进展.山东大学耳鼻喉眼学报. https://link.cnki.net/urlid/37.1437.R.20231101.1518.006

[44]Shi Zhenghao*, Wang Manyu, Ren Wenqi,  "LCA-Net: A Context-Aware Lightweight Network for Low-Illumination Image Enhancement," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, 2023, Art no. 5022613, doi: 10.1109/TIM.2023.3301049.

[42] Li Chengjian, Shi Zhenghao*, Zhang Zhijun, Zhou liang, Ren Xiaoyong, Hei Xinghong, Liu Haiqin, Luo Jing, You Zhenzhen He lifeng,"TFFormer: A TimeFrequency Information Fusion-Based CNN-Transformer Model for OSA Detection With Single-Lead ECG," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-17, 2023, Art no. 4010817, doi: 10.1109/TIM.2023.3312472.

[43] 石争浩,李成建,周亮,张治军,仵晨伟,尤珍臻,任文琦,Transformer驱动的图像分类研究进展,中国图象图形学报,2023,28(9):2661-2692

[41] 石争浩,仵晨伟,李成建,尤珍臻,王泉,马城城,航空遥感图像深度学习目标检测技术研究进展,中国图象图形学报,2023,28(9):2616-2643

[40] Zhaorun Zhou, Zhenghao Shi*, Wenqi Ren, "Linear Contrast Enhancement Network for Low-Illumination Image Enhancement," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-16, 2023, Art no. 5002916, doi: 10.1109/TIM.2022.3232641(WOS:000922147200102).

2022

[39] Zhenghao Shi*, Yongli Wang, Zhaorun Zhou,Wenqi Ren,Integrating Deep Learning and Traditional Image Enhancement Techniques for Underwater Image Enhancement, IET Image Processing, DOI:10.1049/ipr2.125442022.

[38] Zhenghao Shi*, Shuai Shao,Zhaorun Zhou, A saliency guided remote sensing image dehazing network

model. IET Image Process. 1–12 (2022). https://doi.org/10.1049/ipr2.12502

[37] 石争浩刘春月,任文琦,都双丽,赵明华. 2022. 沙尘图像色彩恢复及增强卷积神经网络方法. 中国图象图形学报,27(05):1494-1508)2022CCF B

2021以前部分发表

[36]Shi Zhenghao*, Yin Zhiyan , Ren Xiaoyong, Hei Xinghong, Liu Haiqin, Luo Jing, You Zhenzhen, Zhao Minghua, Chen Jingguo, Arrhythmia Classification Using Deep Residual Neural Networks, Journal of Mechanics in Medicine and BiologyVol. 21, No. 10 (2021) 2140067. DOI: 10.1142/S0219519421400674

[35] Zhaorun Zhou, Zhenghao Shi*, CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing,IET Image Processing14(15):3982-39882021. (CCF CJCR 2, IF= 2.004).

[34] Zhenghao Shi,Yaning Feng, Minghua Zhao, Erhu Zhang, Lifeng He, Normalized Gamma Transformation Based Contrast Limited Adaptive Histogram Equalization with Color Correction for Sand-Dust Image Enhancement. IET Image Processing. 14(4):747 -756, 2020 (CCF CJCR 2, IF= 2.004)

[33] Zhenghao Shi,Yaning Feng , Minghua Zhao,Lifeng He,A Joint Deep Neural Networks Based Method For Single Nighttime Rainy Image Enhancement,2020, Neural Computing and Applications, 32(7), 1913-1926,CCF CJCR 2, IF=4.774

[32]Zhenghao Shi,Yaning Feng , Minghua Zhao,Lifeng He,Let You See in Sand Dust Weather: A Method Base on Halo Reduced Dark Channel prior Dehazing for Sand-Dust Image Enhancement, IEEE Access. PP. 1-1. 10.1109/ACCESS.2019.2936444, JCR 2, IF=4.064,WOS:000484235600016

[31] Zhenghao Shi,Huan Hao, Minghua Zhao, Yaning Feng, Lifeng He, Yinghui Wang, Kenji Suzuki, A deep CNN based transfer learning method for false positive reduction, Multimeadia Tools and Applications. 2019,78(1):1017-1033. (JCR 3, IF=2.101) WOS:000457317500057   CCF C

[30] Zhenghao Shi, Yaowei Li,Minghua Zhao, Yaning Feng, Lifeng He. Multi-stage Filter for Single Image Rain Removal. IET Image Processing, 1210):1866-18722018 (JCR 2, IF= 2.004) WOS:000444686500020  CCF C

[29] Zhao Jinwei赵金伟),Hei  Xinhong黑新宏),Shi Zhenghao石争浩Dong Longlei董龙雷),Liu Yu柳宇),Yan Ruiping严睿萍),Li Xiuxiu李秀秀),Regression learning based on incomplete relationships between attributesINFORMATION SCIENCES422408-4312018JCR 1, IF=4.832WOS::000414887900026 CCF A

[28] Zhenghao Shi, Yaowei Li,Minghua Zhao, Yaning Feng, Lifeng He. Weighted Median Guided Filter for Single Image Rain Removal. EURASIP Journal on Image and Video Processing,  (2018) 2018:35,https://doi.org/10.1186/s13640-018-0275-9 (JCR 4, IF= 1.737) WOS:000433265400001

[27] Zhenghao Shi, Meimei Zhu, Bin Guo, Minghua Zhao, Nighttime Low Illumination Image Enhancement with Single Image Using Bright/Dark Channel Prior, EURASIP Journal on Image and Video Processing,(2018)2018:13. https://doi.org/10.1186/s13640-018-0251-4 (JCR 4, IF= 1.737)  WOS:000425378800001

[26] Zhenghao Shi, Meimei Zhu, Bin Guo, Minghua Zhao. A photographic negative imaging inspired method for low illumination night-time image enhancement. , Multimedia Tools and Applications, 76(13): 15027–15048, 2017. (JCR 3, IF=2.101, WOS:000403039400027)   CCF C

[25] Zhenghao Shi, Bingxin Xu, Xia Zheng*, A Chinese character structure preserved denoising method for Chinese tablet calligraphy document images based on KSVD dictionary learning, Multimedia Tools and Applications, 76(13): 14921-14936, 2017. (JCR 3,IF=2.101, WOS:000403039400021)   CCF C

[24] Zhenghao Shi, Hao Wang, Wei Wei, Xia Zheng, Minghua Zhao, Jinwei Zhao, Yinghui Wang,. Novel Individual Location Recommendation with Mobile Based on Augmented Reality, International Journal of Distributed Sensor Networks2016 , 12 (7) :155014771665726JCR 4, IF=1.787, WOS:000394511200001

[23] Zhenghao Shi, Meimei Zhu, Zheng Xia, Minghua Zhao, Fast Single-Image Dehazing Method Based on Luminance Dark Prior, International Journal of Pattern Recognition and Artificial Intelligence.31(2):1-92017.CCF C, IF= 0.994, WOS:000393879000005

[22] Zhenghao Shi, Bingxin Xu, Xia Zheng*, An integrated method for ancient Chinese tablet images de-noising based on assemble of multiple image smoothing filters, Multimedia Tools and Applications. October 2016, Volume 75, Issue 19, pp 12245–12261 (JCR 3, IF=2.101WOS:000382678200036)   CCF C

[21] Zhenghao Shi, Jiejue Ma, Minghua Zhao, Yonghong Liu, Yaning Feng, Ming Zhang, Lifeng He , and Kenji Suzuki, Many is Better than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images, BioMed Research International, Volume 2016 (2016), http://dx.doi.org/10.1155/2016/1480423 JCR 3, IF=2.583WOS:000382620700001

[20]Xia Zheng, Qiguang Miao, Zhenghao Shi*, Yachun Fan, Wuyang Shui, A New Artistic Information Extraction Method with Multi Channels and Guided Filters for Calligraphy Works, Multimedia Tools and Applications. July 2016, Volume 75, Issue 14, pp 8719-8744 (Corresponding author, JCR 3, IF= 1.541WOS:000382113300027)  CCF C

[19] Zhenghao Shi, Jiejue Ma, Yaning Feng, Lifeng He and Kenji Suzuki, Evaluation of MTANNs for eliminating false-positive with different computer aided pulmonary nodules detection software, Pakistan Journal of Pharmaceutical Sciences, Vol.28 No.6, November 2015, pp.2311-2316(SCI000367868700016, JCR 4, IF=0.581)

[18] Zhenghao Shi, Binxin Xu, Minghua Zhao, Jinwei Zhao, Yinghui Wang,Yonghong Liu, Ming Zhang, Lifeng He and Kenji Suzuki, A Joint ROI Extraction Filter for Computer Aided lung Nodule Detection, Bio-Medical Materials and Engineering 26 (2015) S1491–S1499. (SCI000361671800166, JCR 4,IF= 1.091)

[17] Zhenghao Shi, Chunjiao Si,, Minghua Zhao, Lifeng He, Yinghui Wang and, Kenji Suzuki, An Automatic Method for Lung Segmentation in Thin Slice Computed Tomography Based on Random Walks, Journal of Medical Imaging and Health Informatics, Vol.5, No.2, pp. 303-308, 2015 (SCI: 000352531300018, JCR 4, IF=0.877)

[16] Zhao JuanjuanJi GuohuaQiang YanHan XiaohongPei BoShi ZhenghaoA New Method of Detecting Pulmonary Nodules with PET/CT Based on an Improved Watershed AlgorithmPLOS ONE2015104):e012369410.1371/journal.pone.0123694. 被引频次: 165 ESI 高被引

[15] Zhenghao Shi, Chunjiao Si, Yaning Feng, Lifeng He, Kenji Suzuki, A new method based on MTANNs for cutting down false-positives: An evaluation on different versions of commercial pulmonary nodule detection CAD software, Bio-Medical Materials and Engineering, 24 (2014) 2839–2846 (SCI000343005700105EI:201440077735, JCR 4,IF= 1.091)

[14] Zhenghao Shi, Chunjiao Si, Lifeng He, Yinghui Wang, Ming Zhang and Kenji Suzuki, Hierarchical Representations for Lung Nodule detection in Chest CT with Deep Networks , JOURNAL OF INVESTIGATIVE MEDICINE, Vol.62, No.1, pp. 275-275 ,2014.( SCI: 000336284900452, JCR3, IF=2.085)

[13] Zhenghao Shi*, Minghua Zhao, Lifeng He, Ming Zhang and Kenji Suzuki, A Computer Aided Pulmonary Nodule Detection System Using Multiple Massive Training SVMs, Applied Mathematics & Information Sciences,7(3):1165-1172,2013(SCI:000317461000039, JCR 4,IF=1.232)

[12] Zhenghao Shi, Feng Yaning, Zhang Linhua, Huang Shitan. Hopfield Neural Network Image Matching Based on Hausdorff Distance and Chaos Optimizing. In: Proc of International Symposium on Neural Networks, Chongqing, China, Lecture Notes in Computer Science.3497(2005): 848-853. (EI:2005399382169, SCI: 000230167200136)

[11] Zhenghao Shi*, Huandi Yang, Minghua Zhao, Yinghui Wang and Lifeng He, A two-stage method for haze removal with a single image, ICIC Express Letters, Vol.7, No.8, p 2429-2435, 2013. (EI:20132116352554)

[10] Zhenghao Shi*, Minghua Zhao, Yinghui Wang, Lifeng He, Kenji Suzuki, Chenwang Jin and Ming Zhang, Hessian-LoG: A Novel Dot Enhancement Filter, ICIC-EL, Vol.6, No.8, pp.1987-1992, 2012 (EI: 20124415616871 )

[9] Zhenghao Shi*, Li Li, Minghua Zhao, Lifeng He, Yinghui Wang, Ming Zhang and Kenji Suzuki, Sparse field based active contour: A New Method for Lung Segmentation on Chest Radiography, ICIC-ELB, Vol.3, No.4, pp. 777-783, 2012 (EI: 20122615166582)

[8]Minghua Zhao*, Yinghui Wang, Zhenghao Shi, The Discrete Cosine Transform (DCT) Plus Local Normalization: A Novel Two stage Method for De-illumination in Face Recognition. Optica Applicata, Vol.41 No.4, pp.825-839,2011 (SCI:0003017027000051)

[7] Zhenghao Shi*, Hedong Wang, Fengxia Wang, Minghua Zhao, Yinghui Wang and Quanzhu Yao, A Method for Traffic Signs Recognition Using PCA and LDA, Journal of Information and Computational Science, Vol.8, No.8, pp.1365-1372, 2011 (EI: 20113314234963)

[6] Zhenghao Shi*, Minghua Zhao, Lifeng He and Yinghui Wang, A Combinational Filtering Method for Enhancing Suspicious Structures in Chest X-rays, Journal of Information and Computational Science, Vol.8, No.7, pp.997-1005, 2011 EI20113214225436

[5] Zhenghao Shi*, Lifeng He, Current Status and Future Potentional of Neural Networks in Medical Image Processing, Journal of Multimedia, Vol. 6, No.3, pp.244-251, 2011 (EI: 20112914155853,index number:24)

[4] Zhenghao Shi*, Li Li, Hedong Wang, Fengxia Wang, Minghua Zhao, Yinghui Wang and Quanzhu Yao, Lung Segmentation in Chest Radiographs Using Double Localizing Region based Active Contours, ICIC Express Letters, Part B: Application, Vol.2, No.1, pp.69-74, 2011 (EI: 20110513632212)

[3] Zhenghao Shi*, Fengxia Wang, Hedong Wang, Minghua Zhao, Yinghui Wang and Quanzhu Yao, A Method for Lung Nodules Detection Using KPCA and Template Matching Algorithm, ICIC Express Letters, Part B: Application, Vol. 2, No.1, pp.57-62 (EI: 20110513632210)

[2] Minghua Zhao, Zhenghao Shi, Yinghui Wang, A Method for Small Sample Size Face Recognition Based on Kernel Discriminant Analysis with Two Subspaces, ICIC Exprss Letters, Part B: Application, Vol. 2, No.1, pp. 13-18, 2011 (EI: 20110513632203)

[1] Zhenghao Shi*, Jun Bai, Kenji Suzuki, Lifeng He , Quanzhu Yao and Tsuyoshi Nakamura, A Method for Enhancing Dot-like Regions in Chest X-ray Based on Directional Scale LoG Filter, Journal of Information and Computational Science, Vol.7, No.8, pp.1689-1696, 2010 (EI: 20110313600258) 

2会议论文

2021以前

[7] Zhenghao Shi*,Zhaorun Zhou, Yaning Feng, Sand-Dust Image Enhancement Based on Color Correction And Haze Removal, Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 1208311 (2022) https://doi.org/10.1117/12.2623200
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

[6] Zhenghao Shi*, Jun Bai, Lifeng He, Tsuyoshi Nakamura, Quanzhu Yao and Hidenori Itoh, A Method for Enhancing Lung Nodules in Chest Radiographs By Use of LoG filter, In Proceeding of CISP-BIM’09, PP. 1-4, Tianjing, 17-19 Oct. 2009 (EI: 20100212631029)

[5] Zhenghao Shi*, Peidong Zhou, Lifeng He, Tsuyoshi Nakamura, Quanzhu Yao and Hidenori Itoh, Lung Segmentation in Chest Radiographs By Means of Gaussian Kernel Based FCM with Spatial Constraints, In Proceeding of ICNC-FSKS’09, pp.42-438, Tianjing, 14-16 Aug. 2009 (EI: 20100712710267)

[4] Zhenghao Shi*, Kenji Suzuki and Lifeng He, Reducing FPs in Nodule Detection Using Neural Networks Ensemble, In Proceeding of 2nd International Symposium on Information Science and Engineering, PP.331-333, Anji, 26-28 Dec. 2009 (EI: 20102111956427)

[3] Zhenghao Shi*, Lifeng He, Tsuyoshi Nakamura and Hidenori Itoh, Enhancement of Chest Radiograph Based on Wavelet Transform, In Proceeding of ISNN2009, pp. 675-683, Wuhan, April 4-6 2009 (EI: 20093712304243)

[2] Kenji Suzuki, Zhenghao Shi, Jun Zhang, Supervised Enhancement of Lesions by Use of a Massive Training Artificial Neural Network (MTANN) in Computer Aided Diagnosis (CAD), In Proceeding of 19th International Conference on Pattern Recognition, pp. 1-4, Tampa, FL, USA,  8-11 Dec. 2008 (CCF C, EI: 20091415014171)

[1] Zhenghao Shi*, Lifeng He, Tsuyoshi Nakamura and Hidenori Itoh,Image segmentation based on modified FCM algorithms (EI: 20131816296119)