Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Christopher Bowd

Showing results (111-120 of 173) with videos related to

Pageof 18
Sort By:
Investigative Ophthalmology & Visual Science|October 30, 2019
Racial Differences in the Association of Anterior Lamina Cribrosa Surface Depth and Glaucoma Severity in the African Descent and Glaucoma Evaluation Study (ADAGES)Christopher A Girkin, Massimo A Fazio, Christopher Bowd, et al.
Ophthalmology|October 11, 2021
ReplyMark Christopher, Christopher Bowd, Akram Belghith, et al.
Investigative Ophthalmology & Visual Science|March 26, 2005
Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurementsChristopher Bowd, Felipe A Medeiros, Zuohua Zhang, et al.
Investigative Ophthalmology & Visual Science|March 20, 2012
Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurementsChristopher Bowd, Intae Lee, Michael H Goldbaum, et al.
Scientific Reports|November 14, 2018
Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus PhotographsMark Christopher, Akram Belghith, Christopher Bowd, et al.
JAMA Ophthalmology|February 8, 2019
Association Between Lamina Cribrosa Defects and Progressive Retinal Nerve Fiber Layer Loss in GlaucomaSasan Moghimi, Linda M Zangwill, Patricia Isabel C Manalastas, et al.
Journal of Glaucoma|January 25, 2020
Diagnostic Ability of Optical Coherence Tomography Angiography Macula Vessel Density for the Diagnosis of Glaucoma Using Difference Scan SizesRafaella C Penteado, Christopher Bowd, James A Proudfoot, et al.
Ophthalmology|March 13, 2019
Measurement Floors and Dynamic Ranges of OCT and OCT Angiography in GlaucomaSasan Moghimi, Christopher Bowd, Linda M Zangwill, et al.
Investigative Ophthalmology & Visual Science|March 11, 2008
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyesChristopher Bowd, Jiucang Hao, Ivan M Tavares, et al.
American Journal of Ophthalmology|November 15, 2021
Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma EyesChristopher Bowd, Akram Belghith, Linda M Zangwill, et al.
Pageof 18

Showing results (111-120 of 173) with videos related to

Sort By:
Pageof 18
Investigative Ophthalmology & Visual Science|October 30, 2019
Racial Differences in the Association of Anterior Lamina Cribrosa Surface Depth and Glaucoma Severity in the African Descent and Glaucoma Evaluation Study (ADAGES)Christopher A Girkin, Massimo A Fazio, Christopher Bowd, et al.
Ophthalmology|October 11, 2021
ReplyMark Christopher, Christopher Bowd, Akram Belghith, et al.
Investigative Ophthalmology & Visual Science|March 26, 2005
Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurementsChristopher Bowd, Felipe A Medeiros, Zuohua Zhang, et al.
Investigative Ophthalmology & Visual Science|March 20, 2012
Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurementsChristopher Bowd, Intae Lee, Michael H Goldbaum, et al.
Scientific Reports|November 14, 2018
Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus PhotographsMark Christopher, Akram Belghith, Christopher Bowd, et al.
JAMA Ophthalmology|February 8, 2019
Association Between Lamina Cribrosa Defects and Progressive Retinal Nerve Fiber Layer Loss in GlaucomaSasan Moghimi, Linda M Zangwill, Patricia Isabel C Manalastas, et al.
Journal of Glaucoma|January 25, 2020
Diagnostic Ability of Optical Coherence Tomography Angiography Macula Vessel Density for the Diagnosis of Glaucoma Using Difference Scan SizesRafaella C Penteado, Christopher Bowd, James A Proudfoot, et al.
Ophthalmology|March 13, 2019
Measurement Floors and Dynamic Ranges of OCT and OCT Angiography in GlaucomaSasan Moghimi, Christopher Bowd, Linda M Zangwill, et al.
Investigative Ophthalmology & Visual Science|March 11, 2008
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyesChristopher Bowd, Jiucang Hao, Ivan M Tavares, et al.
American Journal of Ophthalmology|November 15, 2021
Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma EyesChristopher Bowd, Akram Belghith, Linda M Zangwill, et al.
Pageof 18