Jinshan Tang

Jinshan Tang

Professor, HAP

Contact Information

Email: jtang25@gmu.edu

CV

Download Jinshan Tang curriculum vitae (CV) here.

Biography

Dr. Jinshan Tang is a professor of Health Informatics in the Department of Health Administration and Policy. Before joining George Mason University, Dr. Tang was a full professor in the College of Computing at Michigan Technological University and a Founding Director of the Joint Center for Biocomputing and Digital Health. Dr. Tang’s research covers broad areas related to image processing and artificial intelligence. His specific research interests include biomedical image analysis, biomedical imaging, artificial intelligence in medicine (e.g., computer-aided cancer detection, AI for COVID-19 detection).  He has obtained over three million dollars grants as a PI or Co-PI and has published more than 110+ refereed journal and conference papers. He has also served as a committee member at various international conferences. He is a senior member of IEEE and a Co-chair of the Technical Committee on Information Assurance and Intelligent Multimedia-Mobile Communications, IEEE SMC society. 

Research

Research Interests

  • Medical Image Analysis
  • Artificial Intelligence
  • Biomedical Imaging
  • Computer Aided Cancer Detection
  • AI for COVID-19 Detection and Diagnosis
  • Big Data Analysis
  • Bioinformatics

Publications

 Nan Mu, Hongyu Wang, Yu Zhang, Heng Yang, Jinshan Tang, “Progressive Global Perception and Local Polishing Network for Lung Infection Segmentation of COVID-19 CT Images”, Pattern Recognition (In Press)

Chen Zhao, Aviral Vij, Saurabh Malhotra, Jinshan Tang, Haipeng Tang, Drew Pienta, Zhihui Xu, Weihua Zhou, “Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms”,Computers in Biology and Medicine (In press).

 Xiaoming Liu, Zhengsheng Guo, Jun Cao, and Jinshan Tang, “MDC-Net: A New Convolutional Neural Network for Nucleus Segmentation in Histopathology Images with Distance Maps and Contour Information”, Computers in Biology and Medicine (In Press). 

Chen Zhao, Yan Xu, Zhuo He, Jinshan Tang, Yijun Zhang, Jungang Han, Yuxin Shi, Weihua Zhou, “A New Approach for Lung Segmentation and Automatic Detection of COVID-19 Using Radiomic Features from Chest CT Images”, Pattern Recognition (In press)

Chen Zhao, Joyce Keyak, Jinshan Tang, etc. “A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images”, Complex and Intelligent Systems (in press).

 Chaonan Chen, Kai Zhang, Jinshan Tang*, “A COVID-19 Detection Algorithm Using Deep Features and Discrete Social Learning Particle Swarm Optimization for Edge Computing Device”, ACM Transaction on Internet Technology (Accepted)

Xiaoming Liu, Aihui Yu, Xiangkai Wei, Zhifang Pan, Jinshan Tang*, “Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning,” IEEE Journal of Selected Topics in Signal Processing, vol. 14, no.6, pp. 1176 – 1188, Oct. 2020.

 Zilong Hu, Jinshan Tang*, Ping Zhang, Jingfeng Jiang, “Deep learning for the identification of bruised apples by fusing 3D deep features for apple grading systems”, Mechanism System and Signal Processing, Vol. 145, 106922, November–December 2020.

Zilong Hu, Ziming Wang, Kai Zhang, Lin Zhang, Qingling Sun, Jinshan Tang*, “Deep Learning for Image-based Cancer Detection and Diagnosis — A Survey”, Pattern Recognition, vol. 83, pp. 134-149, November 2018.

X Liu and J. Tang*, “Mass Classification in Mammograms Using Selected Geometry and Texture Features and a New SVM-Based Feature Selection Method”, IEEE System Journal, vol. 8, no.3, pp. 910~920, 2014   

See more on CV.

Grants

“Personalized Management of Intracranial Aneurysms Using Computer-aided Analytics”, NIH R01EB029570, 2021-2024, $1,349,106. Role: Co-PI

University Service

  • Chair Search Committee, Department of Applied Computing (March, 2021-May,2021)
  • Dean Searching Committee, (2020~2021)
  • Member of Tenure and Promotion Committee, College of Computing, Michigan Technological University (2020~)
  • Chair, Department Charter Committee, Department of Applied Computing, Michigan Technological University (April 2020~August,2020)
  • Graduate Dean's Advisory Panel, Michigan Technological University (2018~2019)
  • Medical Informatics Faculty Search Committee, Michigan Technological University, October 2018 - May 2019.
  • Review Committee for the Dean of the Graduate School, Michigan Technological University, January 2019
  • Member of inter-school Tenure and Promotion Committee, Michigan Technological University, (2018~)
  • Graduate Dean's Advisory Panel, Michigan Technological University (2018~2019)
  • Medical Informatics Faculty Search Committee, Michigan Technological University, October 2018 - May 2019.

     

Community Services

  • Editorial Board, Translational Oncology, Elsevier, (impact factor: 3.558) 
  • Academic Editor, Journal of Healthcare Engineering (impact factor: 1.803)
  • Guest Editor, Special Spectrum submission on AI for combating COVID-2019, Pattern Recognition (Impact factor 7.196) (2020~)
  • Associate Editor, IEEE International Conference on Systems, Man, and Cybernetics (SMC2020), Toronto, Canada, October 11-14, 2020
  • Associate Editor, 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019), Bari, Italy, on October 6-9, 2019.
  • Guest Editor, Special issue on “Deep Learning for Computer Aided Cancer Detection and Diagnosis with Medical Imaging” on Pattern Recognition (Impact factor 7.196) (2017~2018)
  • Guest Editor, Special issue of IEEE system Journal on “Computer-aided Cancer Detection and Diagnosis Systems”, No. 4, 2014.
  • Guest Editor, Special issue of IEEE Transactions on SMC: Part C on “Pattern Recognition Technologies for Anti-Terrorism Applications”, IEEE Transactions on SMC: Part C, Vol. 41, No 5, 2011.
  •  Leading Guest editor, Special issue of IEEE Journal of Selected Topics in Signal Processing on “digital image processing techniques for oncology”, Vol. 3, no. 1, 2009.
  •  Guest editor, Special issue on “Digital Image Processing and Pattern Recognition Techniques for the Detection of Cancer”, Pattern Recognition, vol.  42, no. 6, 2009.
  • Guest editor, Scott Acton, Fumio Kishino, Ryohei Nakatsu, Jinshan Tang, Matthias Rauterberg, Special Issue on Multimedia System Technologies for Educational Tools, ACM/Springer Multimedia   Systems Journal,Vol.11, No. 3, 2006.
  • Associate editor, Proceeding of the 2001 International Conference on Artificial Intelligence, Las Vegas, Nevada, USA, June 25-28, 2001;
  • Conference Co-chair, IEEE 3rd International Conference on Safe Production and Informatization (IICSPI 2020),  Chongqing, China, Nov 28-31,2020.
  • General Conference Chair, The 2nd International Conference on Urban Intelligence and Applications, Taiyuan, China, Aug. 14-16, 2020.
  • Session Chair, Image Processing/Pattern Recognition 1, IEEE SMC 2020,
  • Session Chair, Machine Learning 1, IEEE SMC 2020,
  • Session Chair, Machine Learning for Intelligent Imaging Systems I, IEEE SMC 2020,
  • Session Co-chair, Machine Learning for Intelligent Imaging Systems II,IEEE SMC 2020
  • Session Chair, Medical Imaging Analytics and Systems Solutions(I) , 2016 IEEE international conference on Systems, man, and Cybernetics, Budapest, Hungary, Oct. 2016.
  • Session Chair, Medical Imaging Analytics and Systems Solutions(II) , 2016 IEEE international conference on Systems, man, and Cybernetics, Budapest, Hungary, Oct. 2016.
  • Session Chair, 2015, Mobile Multimedia/Image Processing, Security, and Applications, April 21, 2015.
  • Program Co-Chair, 2014 5th International Conference on Signal and Information Processing, Jeju Island, July 03-04, 2014. 
  • Session Chair, SPIE defense security sensing Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, MD, USA,2013
  • Program Co-Chair, 2013 4th International Conference on Signal and Information Processing, Hongkong, July 06-07, 2013.
  • Session Chair, 2012 IEEE international conference on Systems, man, and Cybernetics, Korea, Oct. 2012
  • Session Chair, SPIE defense security sensing Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, MD, USA,2012

Awards

  • The Best Paper Award, SPIE Conference on Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, MD, USA, May 21, 2015.
  • Achievement Award, The 2001 International Multi-conference, Las Vegas, Nevada, USA, June 25-28, 2001
  • Keynote speaker, the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications, National Institute of Technology Mizoram, India, June 25 - 26, 2021.
  • Keynote speaker, International Conference on Urban Intelligence and Applications, Wuhan, China, May 10-12, 2019.
  • Keynote speaker, the 14th National Symposium on Sustainable Development of Medical Information Education and the 5th National Medical Information Graduate Forum of the Chinese Medical Association Medical Information Branch, Zunyi, Guizhou, China, July 25, 2019.
  • Invited talk, SPIE Conference on Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, Boston, 1999.
  • Top 10% teacher for student evaluation in MTU (Spring Semester 2014) 
  • Postdoctoral Fellowship, National Institutes of Health 2004-2005
  • Postdoctoral Fellowship, Harvard Medical School, 2000-2001

Professional Affiliations/Memberships

  • Co-Chair, Technical committee of Information Assurance & Intelligent Multimedia- Mobile Communications of the IEEE Systems, Man, and Cybernetics Society (2016~)
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE) (2003~)

Degrees

  • Ph.D. in Telecommunication and Electronics Systems, Beijing University of Posts and Telecommunications,1998
  • MS in Control Theory and Applications, Heilongjiang University, 1995
  • BS in Mathematics Education, Xiangtan Normal University, 1992