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DR. JULIE (YU) ZHANG

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Associate Professor

Computer and Information Science Department
East-West University

Education

Experience

  • Associate Professor, 2015 – Present
    Computer and Information Science Department, East-West University, Chicago, USA
  • Assistant Professor, 2000 – 2015
    Computer and Information Science Department, East-West University, Chicago, USA
  • Programmer/Analyst, 1997 – 2000
    Information Technology Department, Ennis Knapp & Associates, Chicago, USA
  • Engineer, 1986 – 1993
    Broadcasting Technology Department, Zhuhai TV Station, Zhuhai, China

Teaching Courses

  • Programming: Java I & II, C++ I & II, VB.Net
  • Data Structures and Object-oriented Programming
  • Principles of Database, SQL Database Programming, Oracle Database Programming
  • Artificial Intelligence
  • Digital Media: Web Animation I &II, Graphic Design, Image Processing I & II, Video Production, Computer Game Design
  • Computer Applications: Desktop Spreadsheet Application, Desktop Database Management

Research Interest

  • Medical Image Processing and Analysis
  • Machine Learning

Publications

  • Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “Combining Edge-based and Region-based Segmentations for Diagnosing Masses in Mammograms” , Computer Assisted Radiology and Surgery Conferences, Spain, 2015 (Accepted).
  • Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “ Identifying the optimal segmentors for mass classification in mammograms”, SPIE Medical Imaging Conference, USA, 2015.
  • Zhang Y, Tomuro N, Furst JD, Raicu DS, “Building an Ensemble System for Diagnosing Masses in Mammograms”, International Journal of Computer Assisted Radiology and Surgery”. 7(2), 323-329, 2012.
  • Zhang, Y., Tomuro, N., Furst, J. and Raicu, D.S., “Building Multiple Weak Segmentors for Strong Mass Segmentation in Mammogram.” In SPIE Medical Imaging, 796233-796233, 2011.
  • Zhang,Y., Tomuro,N., Raicu, D.S. and Furst, J., “Image Enhancement and Edge-based Mass Segmentation in Mammogram,” In SPIE Medical Imaging, 76234-76234, 2010.
  • Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms”, Medical Content-based Retrieval for Clinical Decision Support, London, UK, 2009.
  • Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D. “A Contour-based Mass Segmentation in Mammograms”, DePaul CDM Research Symposium (SOCRS-09), 2009.
  • Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “Investigation on Feature Selection to Improve Classification of Abdominal Organs in CT Images”, DePaul CTI Research Symposium, 2006