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Content Type

Journal Articles (11)
Meeting Abstract (1)

Journal

Investigative Ophthalmology & Visual Science (10)
Journal of Vision (2)

Article Type

Glaucoma (10)
OSA Fall Vision Meeting Abstract (1)
Research Article (1)

Topics

Eye Anatomy and Disorders (11)
Glaucoma (10)
Low Vision (5)
Retina (4)
Visual Neuroscience (2)
Genetics (1)
Spatial Vision (1)
Visual Psychophysics and Physiological Optics (1)

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glaucoma (10)
eye (9)
learning (8)
visual fields (5)
glaucomatous visual field defect (2)
optic disk (2)
retinal nerve fiber layer (2)
roc curve (2)
scanning laser ophthalmoscopy (2)
virtual bronchoscopy (2)

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Glaucoma March 2008

Bayesian Machine Learning Classifiers for Combining Structural and Functional Measurements to Classify Healthy and Glaucomatous Eyes

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Christopher Bowd; Jiucang Hao; Ivan M. Tavares; Felipe A. Medeiros; Linda M. Zangwill; Te-Won Lee; Pamela A. Sample; Robert N. Weinreb; Michael H. Goldbaum
TAGS: eye, glaucoma, functional measures, learning
Invest. Ophthalmol. Vis. Sci.. 2008; 49(3):945-953. https://doi.org/10.1167/iovs.07-1083

Research Article June 2007

Cone selectivity derived from the responses of the retinal cone mosaic to natural scenes

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Thomas Wachtler; Eizaburo Doi; Te- Won Lee; Terrence J. Sejnowski
TAGS: mosaicism, retinal cone, natural scenes, specificity of diagnostic test
Journal of Vision. 2007; 7(8):6. https://doi.org/10.1167/7.8.6

OSA Fall Vision Meeting Abstract December 2005

Efficient coding of color in natural scenes

Thomas Wachtler; Te-Won Lee; Terrence Sejnowski

Journal of Vision. 2005; 5(12):37. https://doi.org/10.1167/5.12.37

Glaucoma October 2005

Using Unsupervised Learning with Independent Component Analysis to Identify Patterns of Glaucomatous Visual Field Defects

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Michael H. Goldbaum; Pamela A. Sample; Zuohua Zhang; Kwokleung Chan; Jiucang Hao; Te-Won Lee; Catherine Boden; Christopher Bowd; Rupert Bourne; Linda Zangwill; Terrence Sejnowski; David Spinak; Robert N. Weinreb
TAGS: glaucoma, glaucomatous visual field defect, learning, virtual bronchoscopy, visual fields, eye
Invest. Ophthalmol. Vis. Sci.. 2005; 46(10):3676-3683. https://doi.org/10.1167/iovs.04-1167

Glaucoma October 2005

Unsupervised Machine Learning with Independent Component Analysis to Identify Areas of Progression in Glaucomatous Visual Fields

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Pamela A. Sample; Catherine Boden; Zuohua Zhang; John Pascual; Te-Won Lee; Linda M. Zangwill; Robert N. Weinreb; Jonathan G. Crowston; Esther M. Hoffmann; Felipe A. Medeiros; Terrence Sejnowski; Michael Goldbaum
TAGS: glaucoma, learning, virtual bronchoscopy, visual fields, eye
Invest. Ophthalmol. Vis. Sci.. 2005; 46(10):3684-3692. https://doi.org/10.1167/iovs.04-1168

Glaucoma April 2005

Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements

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Christopher Bowd; Felipe A. Medeiros; Zuohua Zhang; Linda M. Zangwill; Jiucang Hao; Te-Won Lee; Terrence J. Sejnowski; Robert N. Weinreb; Michael H. Goldbaum
TAGS: eye, glaucoma, retinal nerve fiber layer, scanning laser polarimetry, spatial vectors, training, learning
Invest. Ophthalmol. Vis. Sci.. 2005; 46(4):1322-1329. https://doi.org/10.1167/iovs.04-1122

Glaucoma September 2004

Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers

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Linda M. Zangwill; Kwokleung Chan; Christopher Bowd; Jicuang Hao; Te-Won Lee; Robert N. Weinreb; Terrence J. Sejnowski; Michael H. Goldbaum
TAGS: glaucoma, heidelberg retina tomograph, learning, optic disk, retina, roc curve, eye, retinal nerve fiber layer
Invest. Ophthalmol. Vis. Sci.. 2004; 45(9):3144-3151. https://doi.org/10.1167/iovs.04-0202

Glaucoma August 2004

Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects

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Pamela A. Sample; Kwokleung Chan; Catherine Boden; Te-Won Lee; Eytan Z. Blumenthal; Robert N. Weinreb; Antje Bernd; John Pascual; Jiucang Hao; Terrence Sejnowski; Michael H. Goldbaum
TAGS: blindness, eye, glaucoma, glaucomatous visual field defect, learning, visual fields
Invest. Ophthalmol. Vis. Sci.. 2004; 45(8):2596-2605. https://doi.org/10.1167/iovs.03-0343

Glaucoma July 2004

Confocal Scanning Laser Ophthalmoscopy Classifiers and Stereophotograph Evaluation for Prediction of Visual Field Abnormalities in Glaucoma-Suspect Eyes

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Christopher Bowd; Linda M. Zangwill; Felipe A. Medeiros; Jiucang Hao; Kwokleung Chan; Te-Won Lee; Terrence J. Sejnowski; Michael H. Goldbaum; Pamela A. Sample; Jonathan G. Crowston; Robert N. Weinreb
TAGS: eye, glaucoma, scanning laser ophthalmoscopy, visual field defects, depression, post-stroke, persistent speech disorders, mineralocorticoid receptor antagonists, visual fields, magnetic resonance angiography, intraocular pressure
Invest. Ophthalmol. Vis. Sci.. 2004; 45(7):2255-2262. https://doi.org/10.1167/iovs.03-1087

Glaucoma November 2002

Comparing Neural Networks and Linear Discriminant Functions for Glaucoma Detection Using Confocal Scanning Laser Ophthalmoscopy of the Optic Disc

PDF

Christopher Bowd; Kwokleung Chan; Linda M. Zangwill; Michael H. Goldbaum; Te-Won Lee; Terrence J. Sejnowski; Robert N. Weinreb
TAGS: glaucoma, laplace transform damping factor for arterial velocity waveform, laser-doppler flowmetry, optic disk, roc curve, scanning laser ophthalmoscopy, eye
Invest. Ophthalmol. Vis. Sci.. 2002; 43(11):3444-3454.

Glaucoma August 2002

Using Machine Learning Classifiers to Identify Glaucomatous Change Earlier in Standard Visual Fields

PDF

Pamela A. Sample; Michael H. Goldbaum; Kwokleung Chan; Catherine Boden; Te-Won Lee; Christiana Vasile; Andreas G. Boehm; Terrence Sejnowski; Chris A. Johnson; Robert N. Weinreb
TAGS: glaucoma, learning, visual fields, eye
Invest. Ophthalmol. Vis. Sci.. 2002; 43(8):2660-2665.

Glaucoma January 2002

Comparing Machine Learning Classifiers for Diagnosing Glaucoma from Standard Automated Perimetry

PDF

Michael H. Goldbaum; Pamela A. Sample; Kwokleung Chan; Julia Williams; Te-Won Lee; Eytan Blumenthal; Christopher A. Girkin; Linda M. Zangwill; Christopher Bowd; Terrence Sejnowski; Robert N. Weinreb
TAGS: glaucoma, learning, perimetry
Invest. Ophthalmol. Vis. Sci.. 2002; 43(1):162-169.

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