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

Details
 
 
Research Group Members
 
NameTitle
 Dr. LEE Hwee Kuan  Principal Investigator
 Dr. CELIK Turgay  Postdoctoral Fellow
 Dr. KOH Yang Wei, Patrick  Postdoctoral Fellow
 Dr. LAW Yan Nei, Ivy  Postdoctoral Fellow
 Dr. YU Weimiao  Postdoctoral Fellow
 Mr. YAP Choon Kong  Research Associate
 
Research Projects

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.
 
Cellular Phenotype Recognition   Texture Segmentation Using the Subspace Mumford-Shah Model
     
Field Theoretical Method for Image Restoration   Automatic and Quantitative Measurement of Neural Cell Outgrowths
     
Biomedical Image Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model   A Multi-resolution Stochastic Level Set Method for the Segmentation of Bioimages
     
Automated Nucleus and Cells Detection using a Region Based Ellipse Detector   Automated Protein Distribution Detection in Images from High-throughput Image-based siRNA Library Screens
 
 
 
Selected Publications
 
  1. W. Yu, H. K. Lee et al
    Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres
    Advances in Visual Computing, ISVC 2009
    Lecture Notes in Computer Science, 2009; 5875: 531-543


  2. Ho,W. Yu et al
    Region Graph Spectra as Geometric Global Image Features
    Advances in Visual Computing, ISVC 2009
    Lecture Notes in Computer Science, 2009; 5875: 253-264


  3. W. Yu, H.K. Lee et al
    Detection and Quantitative Measurement of Neuronal Outgrowth in Fluorescence Microscopy Images
    Proceedings of the Medical Image Understanding and Analysis (MIUA) 2009.


  4. W. Yu, H.L. Lee et al
    Evolving Generalized Voranoi Diagram of Active Contours for Accurate Cellular Image Segmentation
    Cytometry Part A, 2010 (accepted).


  5. Hwee Kuan Lee, Mohammad Shorif Uddin, Shvetha Sankaran, Srivats Hariharan, Sohail Ahmed
    A field theoretical restoration method for images degraded by non-uniform light attenuation : an application for light microscopy
    Optics Express, 2009; 17:11294-11308


  6. YN Law, HK Lee, AM Yip
    Supervised Texture Segmentation Using the Subspace Mumford-Shah Model.
    Proc. of the 2009 Int’l. Conf. on Image Processing, Computer Vision, & Pattern Recognition (IPCV’09). CSREA Press 2009.


  7. YN Law, HK Lee, C Liu, AM Yip
    Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model.
    Proc. of the 2009 Int’l. Conf. on Image Processing, Computer Vision, & Pattern Recognition (IPCV’09). CSREA Press 2009.


  8. Y.N. Law, S. Ogg, J. Common, D. Tan, E.B. Lane, A.M. Yip and H.K. Lee.
    Automated Protein Distribution Detection in High-Throughput Image-Based siRNA Library Screens.
    Journal of Signal Processing Systems, 2009; 55:1-13. Springer New York. ISSN: 1939-8018


  9. Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu, Sohail Ahmed
    Quantitative neurite outgrowth measurement based on image segmentation with topological dependence
    Cytometry A, 2008; v75A:289-297


  10. Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu, Sohail Ahmed
    Level Set Segmentation of Cellular Images Based on Topological Dependence
    Lecture Notes in Computer Science, 2008; 5358:540-551


  11. Choon Kong Yap, Hwee Kuan Lee
    Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector
    Lecture Notes in Computer Science, 2008; 5358:582-593


  12. Yan Nei Law, Hwee Kuan Lee and Andy M. Yip
    A Multi-resolution Stochastic Level Set Method for Mumford-Shah Image Segmentation
    IEEE Transactions Image Processing, 2008; 17:2289-2300
 

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