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

Shahrzad Gholami

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
JAMA Ophthalmology|June 6, 2024
Enhancing Self-Supervised Learning for Rare Diseases in OCT-ReplyShahrzad Gholami, Lea Scheppke, Aaron Y Lee
JAMA Ophthalmology|February 26, 2026
Prompt Validation in Large Language Models for Ophthalmology Education-ReplyShahrzad Gholami, Juan M Lavista Ferres, Karine D Bojikian
Scientific Reports|August 25, 2021
Comparing recurrent convolutional neural networks for large scale bird species classificationGaurav Gupta, Meghana Kshirsagar, Ming Zhong, et al.
Scientific Reports|May 30, 2026
An accurate, efficient, and accessible AI-powered solution for wildlife re-identification in conservationShahrzad Gholami, Derek E Lee, Caleb Robinson, et al.
Plos One|May 14, 2025
Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac using machine learningMd Nasir, William B Weeks, Shahrzad Gholami, et al.
JAMA Ophthalmology|October 16, 2025
Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology EducationShahrzad Gholami, Daniel B Mummert, Beth Wilson, et al.
Ophthalmology Science|April 14, 2025
Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble ModelsShahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, et al.
JAMA Ophthalmology|February 8, 2024
Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
JAMA Ophthalmology|June 6, 2024
Enhancing Self-Supervised Learning for Rare Diseases in OCT-ReplyShahrzad Gholami, Lea Scheppke, Aaron Y Lee
JAMA Ophthalmology|February 26, 2026
Prompt Validation in Large Language Models for Ophthalmology Education-ReplyShahrzad Gholami, Juan M Lavista Ferres, Karine D Bojikian
Scientific Reports|August 25, 2021
Comparing recurrent convolutional neural networks for large scale bird species classificationGaurav Gupta, Meghana Kshirsagar, Ming Zhong, et al.
Scientific Reports|May 30, 2026
An accurate, efficient, and accessible AI-powered solution for wildlife re-identification in conservationShahrzad Gholami, Derek E Lee, Caleb Robinson, et al.
Plos One|May 14, 2025
Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac using machine learningMd Nasir, William B Weeks, Shahrzad Gholami, et al.
JAMA Ophthalmology|October 16, 2025
Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology EducationShahrzad Gholami, Daniel B Mummert, Beth Wilson, et al.
Ophthalmology Science|April 14, 2025
Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble ModelsShahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, et al.
JAMA Ophthalmology|February 8, 2024
Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, et al.
Pageof 1