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Kwokleung Chan, Ph.D. - Publications

Affiliations: 
University of California, San Diego, La Jolla, CA 
Area:
Computation & Theory
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12 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2007 Boden C, Chan K, Sample PA, Hao J, Lee TW, Zangwill LM, Weinreb RN, Goldbaum MH. Assessing visual field clustering schemes using machine learning classifiers in standard perimetry. Investigative Ophthalmology & Visual Science. 48: 5582-90. PMID 18055807 DOI: 10.1167/Iovs.06-0897  0.381
2005 Goldbaum MH, Sample PA, Zhang Z, Chan K, Hao J, Lee TW, Boden C, Bowd C, Bourne R, Zangwill L, Sejnowski T, Spinak D, Weinreb RN. Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects. Investigative Ophthalmology & Visual Science. 46: 3676-83. PMID 16186349 DOI: 10.1167/Iovs.04-1167  0.533
2004 Zangwill LM, Chan K, Bowd C, Hao J, Lee TW, Weinreb RN, Sejnowski TJ, Goldbaum MH. Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers. Investigative Ophthalmology & Visual Science. 45: 3144-51. PMID 15326133 DOI: 10.1167/Iovs.04-0202  0.519
2004 Sample PA, Chan K, Boden C, Lee TW, Blumenthal EZ, Weinreb RN, Bernd A, Pascual J, Hao J, Sejnowski T, Goldbaum MH. Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects. Investigative Ophthalmology & Visual Science. 45: 2596-605. PMID 15277482 DOI: 10.1167/Iovs.03-0343  0.521
2004 Bowd C, Zangwill LM, Medeiros FA, Hao J, Chan K, Lee TW, Sejnowski TJ, Goldbaum MH, Sample PA, Crowston JG, Weinreb RN. Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes. Investigative Ophthalmology & Visual Science. 45: 2255-62. PMID 15223803 DOI: 10.1167/Iovs.03-1087  0.474
2003 Chan K, Lee TW, Sejnowski TJ. Variational Bayesian learning of ICA with missing data Neural Computation. 15: 1991-2011. DOI: 10.1162/08997660360675116  0.449
2003 Kwon OW, Chan K, Lee TW. Speech feature analysis using variational Bayesian PCA Ieee Signal Processing Letters. 10: 137-140. DOI: 10.1109/Lsp.2003.810017  0.309
2002 Chan K, Lee TW, Sejnowski TJ. Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. Journal of Machine Learning Research : Jmlr. 3: 99-114. PMID 21479123 DOI: 10.1162/153244303768966120  0.455
2002 Bowd C, Chan K, Zangwill LM, Goldbaum MH, Lee TW, Sejnowski TJ, Weinreb RN. Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc. Investigative Ophthalmology & Visual Science. 43: 3444-54. PMID 12407155  0.349
2002 Chan K, Lee TW, Sample PA, Goldbaum MH, Weinreb RN, Sejnowski TJ. Comparison of machine learning and traditional classifiers in glaucoma diagnosis. Ieee Transactions On Bio-Medical Engineering. 49: 963-74. PMID 12214886 DOI: 10.1109/Tbme.2002.802012  0.544
2002 Sample PA, Goldbaum MH, Chan K, Boden C, Lee TW, Vasile C, Boehm AG, Sejnowski T, Johnson CA, Weinreb RN. Using machine learning classifiers to identify glaucomatous change earlier in standard visual fields. Investigative Ophthalmology & Visual Science. 43: 2660-5. PMID 12147600  0.489
2002 Goldbaum MH, Sample PA, Chan K, Williams J, Lee TW, Blumenthal E, Girkin CA, Zangwill LM, Bowd C, Sejnowski T, Weinreb RN. Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry. Investigative Ophthalmology & Visual Science. 43: 162-9. PMID 11773027  0.478
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