Jiucang Hao

Salk Institute for Biological Studies — United States

Medicine · Health Sciences

14h-index909citations18works0.02yr avg
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Research Topics

Retinal Diseases and Treatments(9), Retinal Imaging and Analysis(9), Glaucoma and retinal disorders(8), Blind Source Separation Techniques(6), Speech and Audio Processing(5)

Publications18 total

Pattern recognition can detect subtle field defects in eyes of HIV individuals without retinitis under HAART
Graefe s Archive for Clinical and Experimental Ophthalmology·2010· 12 citedOpen Access
Combining Functional and Structural Tests Improves the Diagnostic Accuracy of Relevance Vector Machine Classifiers
Journal of Glaucoma·2010· 29 citedOpen Access
Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior
Neural Computation·2010· 34 cited
Patterns of glaucomatous visual field loss in sita fields automatically identified using independent component analysis.
PubMed·2009· 21 cited
Speech Enhancement Using Gaussian Scale Mixture Models
IEEE Transactions on Audio Speech and Language Processing·2009· 33 cited
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation
IEEE Transactions on Audio Speech and Language Processing·2009· 30 cited
Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing·2008· 13 cited
Bayesian Machine Learning Classifiers for Combining Structural and Functional Measurements to Classify Healthy and Glaucomatous Eyes
Investigative Ophthalmology & Visual Science·2008· 83 cited
Analysis with support vector machine shows HIV-positive subjects without infectious retinitis have mfERG deficiencies compared to normal eyes.
PubMed·2008· 14 cited
Speech enhancement and source separation using probabilistic models
2008
Assessing Visual Field Clustering Schemes Using Machine Learning Classifiers in Standard Perimetry
Investigative Ophthalmology & Visual Science·2007· 17 citedOpen Access
Machine learning classifiers detect subtle field defects in eyes of HIV individuals.
PubMed·2007· 23 cited
Using Unsupervised Learning with Independent Component Analysis to Identify Patterns of Glaucomatous Visual Field Defects
Investigative Ophthalmology & Visual Science·2005· 52 citedOpen Access
Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements
Investigative Ophthalmology & Visual Science·2005· 88 citedOpen Access
Generative and Filtering Approaches for Overcomplete Representations
International Conference on Neural Information Processing·2005· 3 cited
Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects
Investigative Ophthalmology & Visual Science·2004· 45 cited
Confocal Scanning Laser Ophthalmoscopy Classifiers and Stereophotograph Evaluation for Prediction of Visual Field Abnormalities in Glaucoma-Suspect Eyes
Investigative Ophthalmology & Visual Science·2004· 73 cited
Emotion recognition by speech signals
2003· 339 cited

Frequent Co-authors

Te-Won Lee(13), Michael H. Goldbaum(11), Robert N. Weinreb(9), Pamela A. Sample(9), Terrence J. Sejnowski(8), Linda M. Zangwill(7), Christopher Bowd(6), Kwokleung Chan(5), Felipe A. Medeiros(3), Catherine Boden(3), William R. Freeman(3), Zuohua Zhang(2), Intae Lee(2), Igor Kozak(2), Oh‐Wook Kwon(1), Ivan Maynart Tavares(1), Jonathan G. Crowston(1), Rupert Bourne(1), David Spinak(1), Eytan Z. Blumenthal(1)