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

Chandrashan Perera

Showing results (11-20 of 19) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 19 results.
The British Journal of Ophthalmology|December 28, 2020
Microbiological evaluation of corneal and contact lens cultures in contact lens-associated bacterial keratitisSabrina Mukhtar, Sarah Atta, Asad Durrani, et al.
Eye (London, England)|December 9, 2024
Addressing the Overlooked: Limitations of AI in diabetic retinopathy screening and the need for preventative education in urban populationsAndra Sincari, Saieesha Yogesan, Chandrashan Perera, et al.
Diagnostics (Basel, Switzerland)|August 12, 2023
Clinical Characterization and Outcomes of Culture- and Polymerase Chain Reaction-Negative Cases of Infectious KeratitisSarah Atta, Rohan Bir Singh, Keerthana Samanthapudi, et al.
Translational Vision Science & Technology|December 9, 2020
Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone ImagesCassie A Ludwig, Chandrashan Perera, David Myung, et al.
American Journal of Ophthalmology|March 3, 2021
Comparison of Clinical Features and Treatment Outcomes of Pseudomonas aeruginosa Keratitis in Contact Lens and Non-Contact Lens WearersRikki Enzor, Eve M R Bowers, Brittany Perzia, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence ModelsNergis C Khan, Chandrashan Perera, Eliot R Dow, et al.
International Journal of Medical Informatics|February 20, 2021
A deep learning approach to identify blepharoptosis by convolutional neural networksJu-Yi Hung, Chandrashan Perera, Ke-Wei Chen, et al.
Journal of Personalized Medicine|February 25, 2022
An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General PractitionersJu-Yi Hung, Ke-Wei Chen, Chandrashan Perera, et al.
Ophthalmology Science|July 14, 2023
AI-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic RetinopathyEliot R Dow, Nergis C Khan, Karen M Chen, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
The British Journal of Ophthalmology|December 28, 2020
Microbiological evaluation of corneal and contact lens cultures in contact lens-associated bacterial keratitisSabrina Mukhtar, Sarah Atta, Asad Durrani, et al.
Eye (London, England)|December 9, 2024
Addressing the Overlooked: Limitations of AI in diabetic retinopathy screening and the need for preventative education in urban populationsAndra Sincari, Saieesha Yogesan, Chandrashan Perera, et al.
Diagnostics (Basel, Switzerland)|August 12, 2023
Clinical Characterization and Outcomes of Culture- and Polymerase Chain Reaction-Negative Cases of Infectious KeratitisSarah Atta, Rohan Bir Singh, Keerthana Samanthapudi, et al.
Translational Vision Science & Technology|December 9, 2020
Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone ImagesCassie A Ludwig, Chandrashan Perera, David Myung, et al.
American Journal of Ophthalmology|March 3, 2021
Comparison of Clinical Features and Treatment Outcomes of Pseudomonas aeruginosa Keratitis in Contact Lens and Non-Contact Lens WearersRikki Enzor, Eve M R Bowers, Brittany Perzia, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence ModelsNergis C Khan, Chandrashan Perera, Eliot R Dow, et al.
International Journal of Medical Informatics|February 20, 2021
A deep learning approach to identify blepharoptosis by convolutional neural networksJu-Yi Hung, Chandrashan Perera, Ke-Wei Chen, et al.
Journal of Personalized Medicine|February 25, 2022
An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General PractitionersJu-Yi Hung, Ke-Wei Chen, Chandrashan Perera, et al.
Ophthalmology Science|July 14, 2023
AI-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic RetinopathyEliot R Dow, Nergis C Khan, Karen M Chen, et al.
Pageof 2