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Te-Won Lee

University of California San Diego

39H指数
112论文数
9.4K被引数
收录论文 14
发表时间
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes
err2008-03-01
err79
PREAI
errBowd, Christopher; Hao, Jiucang; Tavares, Ivan M.; Medeiros, Felipe A.; Zangwill, Linda M.; Lee, Te-Won; Sample, Pamela A.; Weinreb, Robert N.; Goldbaum, Michael H.
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Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fields
err2005-10-01
err49
errOAAI
errSample, PA; Boden, C; Zhang, ZH; Pascual, J; Lee, TW; Zangwill, LM; Weinreb, RN; Crowston, JG; Hoffmann, EM; Medeiros, FA; Sejnowski, T; Goldbaum, M
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Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects
err2005-10-01
err36
errOAAI
errGoldbaum, MH; Sample, PA; Zhang, ZH; Chan, KL; Hao, JC; Lee, TW; Boden, C; Bowd, C; Bourne, R; Zangwill, L; Sejnowski, T; Spinak, D; Weinreb, RN
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Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurements
err2005-04-01
err71
errOAAI
errBowd, C; Medeiros, FA; Zhang, ZH; Zangwill, LM; Hao, JC; Lee, TW; Sejnowski, TJ; Weinreb, RN; Goldbaum, MH
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Using unsupervised learning with variational Bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects
err2004-08-01
err34
errOAAI
errSample, PA; Chan, KL; Boden, C; Lee, TW; Blumenthal, EZ; Weinreb, RN; Bernd, A; Pascual, J; Hao, JC; Sejnowski, T; Goldbaum, MH
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Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes
err2004-07-01
err58
errOAAI
errBowd, C; Zangwill, LM; Medeiros, FA; Hao, JC; Chan, K; Lee, TW; Sejnowski, TJ; Goldbaum, MH; Sample, PA; Crowston, JG; Weinreb, RN
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Blind signal separation and independent component analysis
err2002-12-01
err22
PREAI
errAmari, SI; Hyvarinen, A; Lee, SY; Lee, TW; Sánchez, VD
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