§ Yong Ping Zhang, Wynne Hsu, Mong Li Lee. Detection of Retinal Blood Vessels Based on Nonlinear Projections, Journal of Signal Processing Systems, 2008.
§ Gerald Liew, Jie Jin Wang, Ning Cheung, Yong Ping Zhang, Wynne Hsu, Mong Li Lee, Paul Mitchell, Gabriella Tikellis, Bronwen Taylor, Tien Yin Wong. The Retinal Vasculature as a Fractal: Methodology, Reliability, and Relationship to Blood Pressure, Ophthalmology, 2008.
§
Qiangfeng Lau, Wynne Hsu, Mong Li Lee, Yin Mao,
Liang Chen. Prediction of Cerebral Aneurysm Rupture, 19th IEEE International
Conference on Tools with Artificial Intelligence (ICTAI),
§
Yongping Zhang, Wynne Hsu, Mong Li Lee. Segmentation of Retinal Vessels Using
Nonlinear Projections. Proceedings of the IEEE International Conference on
Image Processing (ICIP),
§
J. Chen, Wynne Hsu, M. L. Lee, S.K. Ng. Labeling
network motifs in protein interactomes for protein function prediction, The 23rd International Conference on Data
Engineering,
§
Jin Chen, Hon Nian Chua, Wynne Hsu, Mong-Li Lee,
See-Kiong Ng, Rintaro Saito, Wing-Kin Sung, Limsoon Wong. Increasing Confidence
of Protein-Protein Inteactomes. Proceedings of 17th International Conference on
Genome Informatics (GIW 2006), pages 284--297,
§
Guimei Liu, Jinyan Li, Limsoon Wong and Wynne
Hsu. Positive Borders or Negative Borders: How to Make Lossless Generator-based
Representations Concise, The Proceedings of the Sixth
§
Y. Zheng, Wynne Hsu, M. L. Lee, Limsoon Wong.
Exploring Essential Attributes For Detecting MicroRNA Precursors From
Background Sequences, The 32 nd International
Conference on Very Large Data Bases Wokrshop on Data Mining in Bioinformatics,
§ J. Chen, Wynne Hsu, M. L. Lee, S.K. Ng. Computational repurification of protein interactomes using network topological metrics, Bioinformatics, 2006.
§
J. Chen, Wynne Hsu, M. L. Lee, S.K. Ng. NeMoFinder: Dissecting genome wide protein-protein
interactions with repeated and unique network motifs, The Twelfth
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,
§
L. H.Yang, Wynne Hsu, M.L.Lee, L.Wong.
Identification of MicroRNA Precursors via SVM, in Proc. 4th Asia-Pacific
Bioinformatics Conference, pages 267-276,
§
P.M.D.S Pallawala, Wynne Hsu, Mong Li Lee, Say
Song Goh. Automated Microaneurysm Segmentation and Detection using Generalized
Eigenvectors, in IEEE Workshop on Application of Computer Vision (WACV),
§ Huiqi Li, Wynne Hsu, Mong Li Lee, Tien Yin Wong. Automatic Grading of Retina Vessel Caliber, accepted for publication in IEEE Transactions on Biomedical Engineering, 2005.
§ Chen Jin, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Discovering Reliable Protein Interactions from High-Throughput Experimental Data using Network Topology accepted for publication in Artificial Intelligence in Medicine (AIIM Special Issue on Computational Intelligence Techniques in Bioinformatics) , 2005.
§ Chen Jin, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions using Network Topology, in 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, Florida, November 2004.
§
Bin
Fang, Wynne Hsu and Mong Li Lee. Techniques for Temporal Registration of
Retinal Images, in IEEE International Conference on Image Processing,
§
P.M.D.S Pallawala, Wynne Hsu, Mong Li Lee,
Kah-Guan Au Eong. Automated Optic Disc Localization and Contour Detection Using
Ellipse Fitting and Wavelet Transform, in 8th European Conference on
Computer Vision (ECCV),
§ Yuna Hou, Wynne Hsu, Mong Li Lee, Chris Bystroff. Remote Homolog Detection Using Local Sequence-Structure Correlations, in PROTEINS Structure, Function, and Bioinformatics, John Wiley, 2004.
§ Wynne Hsu, Mong Li Lee, Jing Dai. Finding Patterns in Image Databases, book chapter in Leondes/Business and Technology of the New Millenium, Cornelius T. Leondes (ed.), Kluwer Publishers, 2004.
§ Yuna Hou, Wynne Hsu, Mong Li Lee, Christopher Bystroff. Efficient Remote Homology Detection Using Local Structure, Bioinformatics, 2003.
§
Wynne
Hsu, Dai Jing, Mong Li Lee. Mining Viewpoint Patterns in Image Databases, The
Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data
Mining,
§ Huiqi Li, Wynne Hsu, Mong Li Lee, Hongyu Wang. A Piecewise Gaussian Model for Profiling and Differentiating Retinal Vessels, International Conference on Image Processing, 2003
§ Bin Fang, Wynne Hsu, Mong Li Lee. Reconstruction Of Vascular Structures in Retinal Images, International Conference on Image Processing, 2003
§
Liang Huai Yang, Mong Li Lee, Wynne Hsu, Sumit
Acharya. Mining
Frequent Query Patterns from XML Queries, in 8th
International Symposium on Database Systems for Advanced Applications (DASFAA),
§
Bin
Fang, Wynne Hsu, Mong Li Lee. On the Accurate Counting of Tumor Cells, IEEE
Transactions on NanoBioscience, Vol 2, No 2, pp 94-103,
2003.
§ Tai Peng Tian, Ying Chen, Wee Kheng Leow, Wynne Hsu, Tet Sen Howe, Meng Ai Png. Computing Neck-Shaft Angle of Femur for X-Ray Fracture Detection, International Conference on Computer Analysis of Images and Patterns, The Netherlands, Aug 2003.
§
Say Chuen Tay, Wynne Hsu, Kim Hwa Lim. Spatial Data
Mining: Clustering of Hot Spots and Pattern Recognition, International
Geoscience & Remote Sensing Symposium,
§ Wynne Hsu, Mong Li Lee, Ji Zhang. Image Mining: Trends and Developments, in Journal of Intelligent Information System (JISS): Special Issue on Multimedia Data Mining, Kluwer Academic, 2002.
§
Wynne Hsu, Mong Li Lee, Beng Chin Ooi, Pranab
Kumar Mohanty, Keng Lik Teo, Chenyi Xia. Advanced
Database Technologies in a Diabetic Healthcare System (Demo), in
28th International Conference on Very Large Databases (VLDB),
§ Bin Fang, Wynne Hsu, Mong Li Lee. Tumor Cell Identification using Features Rules, in 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , Edmonton, Canada, July 2002.
§
Wynne Hsu, P. M. D. S. Pallawala, M. L. Lee and
K. G. Au-Eong. Domain Knowledge in the Detection of Retinal Hard Exudates,
in IEEE Computer Vision and Pattern Recognition, Dec 2001,
§ K. G. Goh, Wynne Hsu, M. L. Lee, H. Wang. ADRIS: An Automatic Diabetic Retinal Image Screening System, book chapter in Medical Data Mining and Knowledge Discovery, edited by Krzysztof Cios, pp. 181-210, Springer-Verlag, 2001.
§
Zhang
Ji, Wynne Hsu, M. L. Lee. Image Mining: Issues, Frameworks, and Techniques,
in Second International Workshop on Multimedia Data Mining (MDM/KDD 2001),
August 2001,
§ Zhang Ji, Wynne Hsu, M. L. Lee. An Information-driven Framework for Image Mining, in Proceedings of the 12th International Conference on Database and Expert Systems Applications (DEXA), Sept 2001, Munich, Germany, 2001.
§
Wynne Hsu, M. L. Lee, K. G. Goh, Image
Mining in IRIS: Integrated Retinal Information System, in Proceedings
of the ACM SIGMOD, May 2000, Dellas,
§ Wynne Hsu, M. L. Lee, B. Liu and T. W. Ling, Exploration Mining in Diabetic Patient Databases: Findings and Conclusions, in Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 20 Aug 2000, Boston, U.S.A., pp. 430-436.
§ H. Wang, Wynne Hsu, K. G. Goh, M. L. Lee, An Effective Approach to Detect Lesions in Colour Retinal Images, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2000), June 2000, South Carolina, U.S.A., pp. 181-187.
§ Wynne Hsu, T. S. Chua , H. K. Pung. Approximating Content-based Object-level Image Retrieval, Multimedia Tools and Applications, 12, 2000, pp. 59-79.
§