Biography Details
 
Dr. LEE Hwee Kuan
Head of Division


Adjunct Associate Professor, National University of Singapore, School of Computing
Adjunct Associate Professor, National University of Singapore, Department of Mathematics
Adjunct Principal Research Scientist, Singapore Eye Research Institute
 
Areas of Research Interest
 
Lee Hwee Kuan's current research focuses on for analysis of tissues, histological and cellular images. These images are obtained from light microscopy, including image data sets from high-throughput screens.
 
Biography
 
Lee Hwee Kuan is a Senior Principal Investigator of the Imaging Informatics division in Bioinformatics Institute. His current research work involves developing of computer vision aglorithms for clinical and biological studies. Hwee Kuan obtained his Ph.D. in 2001 in Theoretical Physics from Carnegie Mellon University with a thesis on liquid-liquid phase transitions and quasicrystals. He then held a joint postdoctoral position with Oak Ridge National Laboratory (USA) and University of Georgia where he worked on developing advanced Monte Carlo methods and nano-magnetism. In 2003, with an award from the Japan Society for Promotion of Science, Hwee Kuan moved to Tokyo Metropolitan University where he developed solutions to extremely long time scaled problems and a reweighting method for nonequilibrium systems. In 2005 he returned home to join Data Storage Institute, investigating novel recording methods such as hard disk recording via magnetic resonance. In 2006, he joined Bioinformatics Institute as a Principle Investigator in the Imaging Informatics Division.
 
Journal Publications
 
  1. Tin Aung, Monisha Nongpiur, Eray Atalay, Tianxia Gong, Michael Loh, Hwee Lee, Mi ngguang He and Shamira Perera.
    Anterior segment imaging-based subdivision of subjects with primary angle closure glaucoma.
    Eye (2016) in-press.

  2. F. Ferraro, M.L. da Silva et al.
    Weibel-Palade body size modulates the adhesive activity of its von Willebrand Factor cargo in cultured endothelial cells.
    Scientific Reports 6 (2016): 32473.

  3. D. Westmoreland, M. Shaw et al.
    Super-resolution microscopy as a potential approach to diagnosis of platelet granule disorders.
    Journal of Thrombosis and Haemostasis, 14.4 (2016) 839-849.

  4. N. Bougen-Zhukova, S. Loh, H. K. Lee, L-H Loo.
    Large-scale image-based screening and profiling of cellular phenotype.
    Cytometry A (2016).

  5. Satoshi Sashida, Yutaka Okabe, Hwee Kuan Lee.
    Application of Monte Carlo simulation with block-spin transformation based on the Mumford-Shah segmentation model to three-dimensional biomedical images.
    Computer Vision and Image Understanding (2016).

  6. Phi-Vu Nguyen, Ali Ghezali, Ya-Chih Hsueh, Thomas Boudier, Samuel Ken-En Gan, Hwee Kuan Lee.
    Optimal processing for gel electrophoresis images: applying Monte Carlo Tree Search in GelApp.
    Electrophoresis (2016).

  7. Simone Fiori, Tianxia Gong and Hwee Kuan Lee.
    Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System.
    Cognitive Computation 7.6 (2015): 715-730.

  8. Yang Wei Koh, Adelene Y. L. Sim, and Hwee Kuan Lee.
    Dynamical traps in Wang-Landau sampling of continuous systems: Mechanism and solution.
    Physical Review E 92.2 (2015): 023306.

  9. Choon K Yap, Emarene M Kalaw, Malay Singh, Kian T Chong, Danilo M Giron, Chao-Hui Huang, Li Cheng, Yan N Law, Hwee Kuan Lee.
    Automated image based prominent nucleoli detection.
    Journal of Pathology Informatics 6.1 (2015): 39.

  10. Hwee Kuan Lee, Yan Nei Law, Chao-Hui Huang and Choon Kong Yap.
    Analyzing Cell And Tissue Morphologies Using Pattern Recognition Algorithms.
    Biomedical Image Understanding, Methods and Applications (eds J.-H. Lim, S.-H. Ong and W. Xiong), John Wiley & Sons, Inc, Hoboken, NJ, USA. doi: 10.1002/9781118715321.ch4

  11. Jia-Zhi Sim, Phi-Vu Nguyen, Hwee Kuan Lee and Samuel Ken-En Gan.
    GelApp: Mobile gel electrophoresis analyser.
    Nature Methods Application Notes doi:10.1038/an964

  12. John Lim, Hwee Kuan Lee, Weimiao Yu, Sohail Ahmed.
    Light Sheet Fluorescence Microscopy (LSFM): Past, Present and Future.
    Analyst,2014;139:4758-4768.

  13. Kai-Ling Yong, Tianxia Gong, Monisha E. Nongpiur, Alicia C How, Hwee Kuan Lee, Cheng Li, Shamira A. Perera, Tin Aung.
    Myopia in Asian Subjects with Primary Angle Closure: Implications for Glaucoma Trends in East Asia.
    Ophthalmology,2014;121(8):1566-71.

  14. Satoshi Sashida, Yutaka Okabe, Hwee Kuan Lee.
    Comparison of Multi-Label Graph Cuts Method and Monte Carlo Simulation with Block-Spin Transformation for the Piecewise Constant Mumford-Shah Segmentation Model.
    Computer Vision and Image Understanding,2014;119:15-26.

  15. Monisha E. Nongpiur, Tianxia Gong, Hwee Kuan Lee, Shamira A. Perera, Li Cheng, Li-Lian Foo, Mingguang He, David S. Friedman, Tin Aung
    Subgrouping of Primary Angle-Closure Suspects Based on Anterior Segment Optical Coherence Tomography Parameters.
    Opthalmology,2013;120(12):2525-2531.

  16. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip
    Learning Dynamical Shape Prior for Level Set Based Cell Tracking.
    Annals of the BMVA,2013;6:1-14.

  17. Yan Nei Law
    Cell Tracking Using Phase-Adaptive Shape Prior.
    Journal of Microscopy,2013;252(2):149-158.

  18. Yang Wei Koh, Hwee Kuan Lee, Yutaka Okabe
    Dynamically Optimized Wang-Landau Sampling with Adaptive Trial Moves and Modification Factors.
    Physical Review E,2013;88(5):053302-053310.

  19. Turgay Celik, Hwee Kuan Lee, Andrea Petznick, Louis Tong.
    Bioimage Informatics Approach to Automated Meibomian Gland Analysis in Infrared Images of Meibography.
    Journal of Optometry,2013;6(4):194-204.

  20. Celeste P Guzman, Tianxia Gong, Monisha E. Nongpiur, Shamira A. Perera, Alicia C. How, Hwee Kuan Lee, Li Cheng, Mingguang He, Mani Baskaran and Tin Aung.
    Anterior Segment Optical Coherence Tomography Parameters in Subtypes of Primary Angle Closure.
    Invest. Ophthalmol. Vis. Sci.,2013;54:5281-5286.

  21. Turay Celik, Hwee Kuan Lee.
    Comments on "A Robust Fuzzy Local Information C-Means Clustering Algorithm".
    IEEE Transactions on Image Processing,2013;22(3):1258-1261.

  22. Chao-Hui Huang, Shvetha Sankaran, Daniel Racoceanu, Srivats Hariharan, and Sohail Ahmed.
    Online 3-D Tracking of Suspension Living Cells Imaged with Phase-Contrast Microscopy.
    IEEE Transactions on Biomedical Engineering,2012;59(7):1924-1933.

  23. Yan Nei Law, Victor Racine, Pei Ling Ang, Hanifa Mohamed, Piang Chin Soo, Jacqueline M. Veltmaat, and Hwee Kuan Lee.
    Development of MammoQuant: An Automated Quantitative Tool for Standardized Image Analysis of Murine Mammary Gland Morphogenesis.
    Journal of Medical Imaging and Health Informatics,2012;2(4):352-365.

  24. Yang Wei Koh, Turgay Celik, Hwee Kuan Lee, Andrea Petznick, and Louis Tong.
    Detection of Meibomian Glands and Classification of Meibography Images.
    J.Biomed. Optics,2012;17(8):086008-086014.

  25. Turgay Celik.
    Two-dimensional Histogram Equalization and Contrast Enhancement.
    Pattern Recognition,2012;45(10):3810-3824.

  26. Yan Nei Law, Hwee Kuan Lee, Michael K. Ng and Andy M. Yip.
    A Semi-Supervised Segmentation Model for Collections of Images.
    IEEE Transactions on Image Processing,2012;21(6):2955-2968.

  27. 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,2011;241(2):171-178.

  28. Birgit Eisenhaber, Michaela Sammer, Wai Heng Lua, Wolfgang Bebetka, Lai Ling Liew, Weimiao Yu, Hwee Kuan Lee, Manfred Koranda, Frank Eisenhaber, and Sharmila Adhikari.
    Nuclear Import of a Lipid-Modified Transcription Factor: Mobilization of NFAT5 Isoform A by Osmotic Stress.
    Cell Cycle,2011;10(22):3897-3911.

  29. Yan Nei Law, Hwee Kuan Lee, and Andy M. Yip.
    Subspace Learning for Mumford-Shah Model Based Texture Segmentation through Texture Patches.
    Applied Optics,2011;50(21):3947-3957.

  30. Hiroshi Watanabe, Satoshi Sashida, Yutaka Okabe and Hwee Kuan Lee.
    Monte Carlo Methods for Optimizing the Piece-Wise Constant
    Mumford-Shah Segmentation Model.
    New J.Phys,2011;13:023004.

  31. Mohammad Shorif Uddin, Hwee Kuan Lee, Preibisch S, Tomancak P.
    Restoration of Uneven Illumination in Light Sheet Microscopy Images.
    Microsc. Microanal,2011;17(4):607-13.

  32. Yan Nei Law, Hwee Kuan Lee, Chaoqiang Liu, Andy M. Yip.
    A Variational Model for Segmentation of Overlapping Objects with Additive Intensity Value.
    IEEE Trans. Img. Proc,2011;20(6):1495-1503.

  33. Zong Hong Zhang, Hwee Kuan Lee and Ivana Mihalek.
    Reduced Representation of Protein Structure: Implications on Efficiency and Scope of Detection of Structural Similarity.
    BMC Bioinformatics,2010;11:155.

  34. Jagadish Sankaran, Xianke Shi, Liang Yoong Ho, Ernst H.K. Stelzer, and Thorsten Wohland.
    ImFCS: A Software for Imaging FCS Data Analysis and Visualization.
    Optics Express,2010;18(25):25468-25481.

  35. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip.
    Semi-Supervised Subspace Learning for Mumford-Shah Model Based Texture Segmentation.
    Optics Express,2010;18(5):4934-4448.

  36. Weimiao Yu, Hwee Kuan Lee et al.
    Evolving Generalized Voronoi Diagram of Active Contours for Accurate Cellular Image Segmentation.
    Cytometry Part A,2010;77A:379-386.

  37. Yan Nei 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.

  38. 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(14):11294-11308.
    (selected to be published again in the Virtual Journal of Biomedical Optics,2009;4:11294-11308)

  39. Weimiao Yu, Hwee Kuan Lee, S. Hariharan, Wenyu Bu, S. Ahmed.
    Quantitative Neurite Outgrowth Measurement Based on Image Segmentation with Topological Dependence.
    Cytometry A,2008;75A:289-297.

  40. 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(12):2289-2300.
    CAM Report 07-43 (2007) http://www.math.ucla.edu/applied/cam/

 
Conference Proceedings
 
  1. Chao-Hui Huang.
    Semi-Supervised Color Decomposition For Histopathological Images Using Exclusive Component Analysis.
    IEEE International Workshop on Machine Learning for Signal Processing, September 17-20, 2015 Boston, USA.

  2. Connie (Khor Li) Kou, Chao-Hui Huang.
    Massiviely Parallelized Support Vector Machines Based on GPU-Accelerated Multiplicative Updates.
    Proc. of IEEE SSCI2014, Dec 2014.

  3. Chao-Hui Huang.
    Fast Overcomplete Topographical Independent Component Analysis (FOTICA) and Its Implementation Using GPUs.
    Proc. of IEEE SSCI2014, Dec 2014.

  4. Yan Nei Law, Monica K. Lieng, Jingmei Li, David Aik-Aun Khoo.
    Automated Breast Tissue Density Assessment Using High Order Regional Texture Descriptors in Mammography.
    Proc. of SPIE Medical Imaging, Feb 2014.

  5. Tianxia Gong, Nengli Lim, Li Cheng, Hwee Kuan Lee, Bolan Su, Chew Lim Tan, Shimiao Li, C. C. Tchoyoson Lim, Boon Chuan Pang and Cheng Kiang Lee.
    Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries.
    Intl. Conf. on Tools with Artificial Intelligence 2013 (ICTAI), Nov 2013.

  6. Thien Anh Dinh, Tomi Silander, Bolan Su, Tianxia Gong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Chew Lim Tan, Tze-Yun Leong.
    Unsupervised Medical Image Classification by Combining Case-Based Classifiers.
    The 14th World Congress on Medical and Health Informatics (Medinfo 2013), Aug 2013.

  7. Chao-Hui Huang.
    Pose Estimation for Vertebral Mobility Analysis Using eXclusive-ICA Based Boosting.
    Intl. Joint Conf. on Neural Networks (IJCNN'13), Aug 2013.

  8. Chao-Hui Huang*.
    A Fast Method For Spine Localization in X-ray Images.
    35th Annual Intl. IEEE EMBS Conf., Jul 2013.

  9. Stephane Ulysse Rigaud*, Chao-Hui Huang, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu.
    An Analysis-Synthesis Approach for Neurosphere Modelisation Under Phase-Contrast Microscopy.
    35th Annual Intl. IEEE EMBS Conf., Jul 2013.

  10. Chao-Hui Huang and Hwee Kuan Lee.
    Automated Mitosis Detection Based on eXclusive Independent Component Analysis.
    21st Intl. Conf. on Pattern Recognition, Nov 2012.

  11. Yan Nei Law and Hwee Kuan Lee.
    Level Set Based Tracking for Cell Cycle Analysis Using Dynamical Shape Prior.
    Proc. of the 16th Conf. on Medical Image Understanding and Analysis (MIUA):137-142, Jul 2012.

  12. Xiong W, Chia SC, Joo-Hwee Lim, Hwee Kuan Lee , Shvetha S, Sohail Ahmed.
    Segmentation of Neural Stem Cells/Neurospheres in High Content Brightfield Microscopy Images Using Localized Level Sets.
    IEEE Intl. Conf. on Image Processing, 2012.

  13. Xiong W, Chia SC, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha S, Sohail Ahmed.
    Segmentation of Unstained Neural Stem Cells/Neurospheres in Unevenly Illuminated Brightfield Images with Shading Reduction.
    Intl. Conf. on Pattern Recognition, 2012.

  14. Viet Anh Ngo, Yan Nei Law, Hwee Kuan Lee, Srivats Hariharan and Sohail Ahmed.
    Accurate Single-Molecule Localization of Super-Resolution Microscopy Images using Multiscale Products.
    Proc. SPIE,2012;8228,822813.

  15. Chao-Hui Huang.
    Bio-Inspired Computer Visual System and its Applications.
    Decade Of The Mind VI, 2011.

  16. Yan Nei Law, Hwee Kuan Lee and Andy M. Yip.
    A Stochastic Level Set Method for Subspace Mumford-Shah Based Image Segmentation.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition, 2011.

  17. Yan Nei Law, Hwee Kuan Lee, Michael K. Ng, and Andy M. Yip.
    Interactive Segmentation of Multiple Images.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition, 2011.

  18. Yan Nei Law, Hwee Kuan Lee and Andy M. Yip.
    Subspace Descriptor for Texture and its Applications.
    Proc. of the Intl. Conf. on Image Processing,Computer Vision and Pattern Recognition, 2010.

  19. Chao-Hui Huang, Daniel Racoceanu, Ludovic Roux, Thomas. C.Putti.
    Bio-Inspired Computer Visual System using GPU and Visual Pattern. Assessment Language (ViPAL): Application on Breast Cancer Prognosis.
    Intl. Conf. on Neural Networks(IJCNN2010), Jul 2010.

  20. 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, 2010.

  21. Weimiao Yu, Hwee Kuan 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.

  22. Q. Ho, Weimiao Yu , Hwee Kuan Lee.
    Region Graph Spectra as Geometric Global Image Features.
    Int. Sym. Visual Computing (ISVC 2009).
    Lecture Notes in Computer Science,2009;5875:253-264.

  23. Weimiao Yu, Hwee Kuan Lee et al.
    Detection and Quantitative Measurement of Neuronal Outgrowth in Fluorescence Microscopy Images.
    Proc. of the Medical Image Understanding and Analysis (MIUA), 2009.

  24. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip.
    Supervised Texture Segmentation Using the Subspace Mumford-Shah Model.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition (IPCV09), 2009.

  25. Yan Nei Law, Hwee Kuan Lee, Chaoqiang Liu, Andy M. Yip.
    Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition (IPCV09), 2009.

  26. 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.

  27. 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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