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Dr. LEE Hwee Kuan
Principal Investigator
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| Research Group Members |
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| Name | Title |
| Dr. LEE Hwee Kuan |
Principal Investigator |
| Dr. CHENG Li |
Assistant Principal Investigator |
| Dr. CELIK Turgay |
Postdoctoral Fellow |
| Dr. HUANG Chao Hui |
Postdoctoral Fellow |
| Dr. KOH Yang Wei, Patrick |
Postdoctoral Fellow |
| Dr. LAW Yan Nei, Ivy |
Postdoctoral Fellow |
| Mr. YE Ning |
Postdoctoral Fellow |
| Mr. YAP Choon Kong |
Research Associate |
| Mr. Mohamed Hanifa |
Software Engineer |
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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.
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| Journal Publications |
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- Yan Nei Law, Andy M. Yip and Hwee Kuan Lee
Automatic Measurement of Volume Percentage Stroma in Endometrial Images using Texture
Segmentation
Journal of Microscopy (in press)
- Y.N.Law, H. K. Lee, A. M. Yip
Semi-supervised Subspace Learning for
Mumford-Shah Model Based Texture Segmentation
Optics Express, 2010;
18(5): 4934-4448
- W. Yu, H. K. Lee et al
Evolving Generalized Voranoi Diagram of Active
Contours for Accurate Cellular Image Segmentation
Cytometry Part A,
2010; 77A: 379-386
- 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
(selected to be published
again in the Virtual Journal of Biomedical Optics, 2009; 4: 11294-11308)
- W. Yu, H. K. Lee, S. Hariharan, W. Y. Bu, S. Ahmed
Quantitative Neurite
Outgrowth Measurement Based on Image Segmentation with Topological
Dependence
Cytometry A, 2008; 75A: 289-297
- Yan Nei Law, Hwee Kuan Lee and Andy M. Yip
A Multi-resolution
Stochastic Level Set Method for Mumford-Shah Image Segmentation
IEEE
Trans. Img. Proc., 2008; 17: 2289-2300
CAM Report 07-43 (2007) http://www.math.ucla.edu/applied/cam/
- Y. N. Law, S. Ogg, et al.
Automated Protein Distribution Detection in
High-Throughput Image-Based siRNA Library Screens
Journal of Signal
Processing Systems, 2009; 55: 1-13
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| Conference Proceedings |
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- Yan Nei Law, Hwee Kuan Lee and Andy M. Yip
Subspace Descriptor for
Texture and its Applications
Proc. of the 2009 Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition (IPCV10).
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Yan Nei Law, Hwee Kuan Lee and Andy M. Yip
A Subspace Clustering Model for Image Texture Segmentation
Proc. of 5th European Conference on Computational Fluid Dynamics
- W. Yu, H. K. Lee et al
Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres
Int. Sym. Visual Computing, (ISVC 2009). Lecture Notes in Computer Science, 2009; 5875: 531-543
- Q. Ho, W. Yu , H. K. Lee
Region Graph Spectra as Geometric Global Image Features
Int. Sym. Visual Computing, (ISVC 2009). Lecture Notes in Computer Science, 2009; 5875: 253-264
- W. Yu, H.K. Lee et al
Detection and Quantitative Measurement of Neuronal Outgrowth in Fluorescence Microscopy Images
Proc. of the Medical Image Understanding and Analysis (MIUA) 2009.
- YN Law, HK Lee, AM Yip
Supervised Texture Segmentation Using the
Subspace Mumford-Shah Model
Proc. of the 2009 Intl. Conf. on Image
Processing, Computer Vision and Pattern Recognition (IPCV09).
- 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 Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition
(IPCV09).
- Choon Kong Yap, Hwee Kuan Lee
Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector
Int. Sym. Visual Computing (ISVC 2008). Lecture Notes in Computer Science, 2008; 5358: 582-593
- Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu and Sohail Ahmed
Level Set Segmentation of Cellular Images Based on Topological Dependence
Int. Sym. Visual Computing (ISVC 2008). Lecture Notes in Computer Science, 2008; 5358: 540-551 (Best Paper Award in ISVC2008)
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