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American Journal of Ophthalmology
|
July 19, 2023
The Sensitivity of Ultra-Widefield Fundus Photography Versus Scleral Depressed Examination for Detection of Retinal Horseshoe Tears
Andrew C Lin, Fritz Gerald P Kalaw, Etienne M Schönbach, et al.
Ophthalmology
|
February 5, 2023
Validation of the Prognostic Usefulness of the Gene Expression Profiling Test in Patients with Uveal Melanoma
Sofia Miguez, Ryan Y Lee, Alison X Chan, et al.
Bioengineering (Basel, Switzerland)
|
February 23, 2024
Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data
Mark Christopher, Ruben Gonzalez, Justin Huynh, et al.
JAMA Ophthalmology
|
March 17, 2022
Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning
Rui Fan, Christopher Bowd, Mark Christopher, et al.
Translational Vision Science & Technology
|
August 21, 2020
Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms
Mark Christopher, Kenichi Nakahara, Christopher Bowd, et al.
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of 7
Search research articles
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Showing results (61-70 of 65) with videos related to
Sort By:
Page
of 7
You have reached the last page of results.
This site can display upto 65 results.
American Journal of Ophthalmology
|
July 19, 2023
The Sensitivity of Ultra-Widefield Fundus Photography Versus Scleral Depressed Examination for Detection of Retinal Horseshoe Tears
Andrew C Lin, Fritz Gerald P Kalaw, Etienne M Schönbach, et al.
Ophthalmology
|
February 5, 2023
Validation of the Prognostic Usefulness of the Gene Expression Profiling Test in Patients with Uveal Melanoma
Sofia Miguez, Ryan Y Lee, Alison X Chan, et al.
Bioengineering (Basel, Switzerland)
|
February 23, 2024
Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data
Mark Christopher, Ruben Gonzalez, Justin Huynh, et al.
JAMA Ophthalmology
|
March 17, 2022
Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning
Rui Fan, Christopher Bowd, Mark Christopher, et al.
Translational Vision Science & Technology
|
August 21, 2020
Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms
Mark Christopher, Kenichi Nakahara, Christopher Bowd, et al.
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of 7