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

Michael H Goldbaum

Showing results (21-30 of 65) with videos related to

Pageof 7
Sort By:
Investigative Ophthalmology & Visual Science|October 31, 2002
Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic discChristopher Bowd, Kwokleung Chan, Linda M Zangwill, et al.
Investigative Ophthalmology & Visual Science|June 4, 2018
Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma ProgressionMark Christopher, Akram Belghith, Robert N Weinreb, et al.
Investigative Ophthalmology & Visual Science|August 25, 2004
Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiersLinda M Zangwill, Kwokleung Chan, Christopher Bowd, et al.
Investigative Ophthalmology & Visual Science|December 7, 2007
Assessing visual field clustering schemes using machine learning classifiers in standard perimetryCatherine Boden, Kwokleung Chan, Pamela A Sample, et al.
Eye (London, England)|April 12, 2022
Retinal vein occlusion is associated with stroke independent of underlying cardiovascular diseaseChristine Y Bakhoum, Samantha Madala, Christopher K Long, et al.
Translational Vision Science & Technology|May 7, 2016
Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual FieldsSiamak Yousefi, Madhusudhanan Balasubramanian, Michael H Goldbaum, 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.
Ophthalmology|October 11, 2021
ReplyMark Christopher, Christopher Bowd, Akram Belghith, et al.
Pageof 7

Showing results (21-30 of 65) with videos related to

Sort By:
Pageof 7
Investigative Ophthalmology & Visual Science|October 31, 2002
Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic discChristopher Bowd, Kwokleung Chan, Linda M Zangwill, et al.
Investigative Ophthalmology & Visual Science|June 4, 2018
Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma ProgressionMark Christopher, Akram Belghith, Robert N Weinreb, et al.
Investigative Ophthalmology & Visual Science|August 25, 2004
Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiersLinda M Zangwill, Kwokleung Chan, Christopher Bowd, et al.
Investigative Ophthalmology & Visual Science|December 7, 2007
Assessing visual field clustering schemes using machine learning classifiers in standard perimetryCatherine Boden, Kwokleung Chan, Pamela A Sample, et al.
Eye (London, England)|April 12, 2022
Retinal vein occlusion is associated with stroke independent of underlying cardiovascular diseaseChristine Y Bakhoum, Samantha Madala, Christopher K Long, et al.
Translational Vision Science & Technology|May 7, 2016
Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual FieldsSiamak Yousefi, Madhusudhanan Balasubramanian, Michael H Goldbaum, 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.
Ophthalmology|October 11, 2021
ReplyMark Christopher, Christopher Bowd, Akram Belghith, et al.
Pageof 7