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Dr. LEE Hwee Kuan
Principal Investigator
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| Group Members |
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| Name | Title |
| 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 |
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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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| More Details |
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| Selected Publications |
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- 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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