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Christopher Bowd

Showing results (101-110 of 173) with videos related to

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Investigative Ophthalmology & Visual Science|June 27, 2006
Structure-function relationships using confocal scanning laser ophthalmoscopy, optical coherence tomography, and scanning laser polarimetryChristopher Bowd, Linda M Zangwill, Felipe A Medeiros, et al.
Investigative Ophthalmology & Visual Science|March 9, 2010
A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucomaLuciana M Alencar, Linda M Zangwill, Robert N Weinreb, et al.
Journal of Glaucoma|June 17, 2009
Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiersLyne Racette, Christine Y Chiou, Jiucang Hao, et al.
IEEE Transactions on Bio-Medical Engineering|April 9, 2014
Learning from data: recognizing glaucomatous defect patterns and detecting progression from visual field measurementsSiamak Yousefi, Michael H Goldbaum, Madhusudhanan Balasubramanian, et al.
Ophthalmology Science|January 29, 2025
Glaucoma Detection and Feature Identification via GPT-4V Fundus Image AnalysisJalil Jalili, Anuwat Jiravarnsirikul, Christopher Bowd, et al.
American Journal of Ophthalmology|March 31, 2020
Gradient-Boosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate GlaucomaChristopher Bowd, Akram Belghith, James A Proudfoot, et al.
American Journal of Ophthalmology|November 27, 2019
Relationship of Corneal Hysteresis and Anterior Lamina Cribrosa Displacement in GlaucomaBrandon J Wong, Sasan Moghimi, Linda M Zangwill, et al.
American Journal of Ophthalmology|August 29, 2006
Agreement and repeatability for standard automated perimetry and confocal scanning laser ophthalmoscopy in the diagnostic innovations in glaucoma studyDiana Ng, Linda M Zangwill, Lyne Racette, et al.
Ophthalmology|November 14, 2019
Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness MapsMark Christopher, Christopher Bowd, Akram Belghith, et al.
Investigative Ophthalmology & Visual Science|February 13, 2014
Detecting glaucoma progression from localized rates of retinal changes in parametric and nonparametric statistical framework with type I error controlMadhusudhanan Balasubramanian, Ery Arias-Castro, Felipe A Medeiros, et al.
Pageof 18

Showing results (101-110 of 173) with videos related to

Sort By:
Pageof 18
Investigative Ophthalmology & Visual Science|June 27, 2006
Structure-function relationships using confocal scanning laser ophthalmoscopy, optical coherence tomography, and scanning laser polarimetryChristopher Bowd, Linda M Zangwill, Felipe A Medeiros, et al.
Investigative Ophthalmology & Visual Science|March 9, 2010
A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucomaLuciana M Alencar, Linda M Zangwill, Robert N Weinreb, et al.
Journal of Glaucoma|June 17, 2009
Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiersLyne Racette, Christine Y Chiou, Jiucang Hao, et al.
IEEE Transactions on Bio-Medical Engineering|April 9, 2014
Learning from data: recognizing glaucomatous defect patterns and detecting progression from visual field measurementsSiamak Yousefi, Michael H Goldbaum, Madhusudhanan Balasubramanian, et al.
Ophthalmology Science|January 29, 2025
Glaucoma Detection and Feature Identification via GPT-4V Fundus Image AnalysisJalil Jalili, Anuwat Jiravarnsirikul, Christopher Bowd, et al.
American Journal of Ophthalmology|March 31, 2020
Gradient-Boosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate GlaucomaChristopher Bowd, Akram Belghith, James A Proudfoot, et al.
American Journal of Ophthalmology|November 27, 2019
Relationship of Corneal Hysteresis and Anterior Lamina Cribrosa Displacement in GlaucomaBrandon J Wong, Sasan Moghimi, Linda M Zangwill, et al.
American Journal of Ophthalmology|August 29, 2006
Agreement and repeatability for standard automated perimetry and confocal scanning laser ophthalmoscopy in the diagnostic innovations in glaucoma studyDiana Ng, Linda M Zangwill, Lyne Racette, et al.
Ophthalmology|November 14, 2019
Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness MapsMark Christopher, Christopher Bowd, Akram Belghith, et al.
Investigative Ophthalmology & Visual Science|February 13, 2014
Detecting glaucoma progression from localized rates of retinal changes in parametric and nonparametric statistical framework with type I error controlMadhusudhanan Balasubramanian, Ery Arias-Castro, Felipe A Medeiros, et al.
Pageof 18