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  Computer Vision and Pattern Discovery
 
Dr. LEE Hwee Kuan
Principal Investigator

Details
 
 
Group Members
 
NameTitle
 Dr. LEE Hwee Kuan  Principal Investigator
 Dr. LAW Yan Nei, Ivy  Postdoctoral Fellow
 Dr. Mohammad Shorif UDDIN  Postdoctoral Fellow
 Dr. YU Weimiao  Postdoctoral Fellow
 Mr. HO Qirong  Research Associate
 Mr. YAP Choon Kong  Research Associate
 Ms. LI Bihui  Research Associate
 
Research Overview

The group of Computer Vision and Pattern Discovery for Bioimages focuses on applying advanced computer vision, machine learning and mathematical models to elucidate the complex behavior of biological systems. The group analyses images from wide-field and confocal microscopes, including image data sets from high-throughput screens. The trend towards quantitative biology has spawned new areas of research, especially in the area of digital imaging where thousands of images are acquired automatically through robotic systems of chemical and cell assays handling. These images are then analyzed and used to create new biological hypotheses that are further validated using other experimental means. The group's contributions to high throughput, high content imaging are to provide accurate and fast computational methods for the data mining of large image data sets.
 
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Selected Publications
 
  1. Law YN, Lee HK, Yip AM.
    A Multi-resolution Stochastic Level Set Method for Mumford-Shah Image Segmentation
    UCLA CAM Report 2007; 07-43 http://www.math.ucla.edu/applied/cam/
 
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