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Ophthalmology Science
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December 22, 2022
Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Rui Fan, Kamran Alipour, Christopher Bowd, et al.
Genes, Brain, and Behavior
|
July 29, 2017
Comprehensive analysis of two Shank3 and the Cacna1c mouse models of autism spectrum disorder
P A Kabitzke, D Brunner, D He, et al.
Ophthalmology Science
|
February 3, 2026
A Novel Multimodal Implementation of a Foundation Artificial Intelligence Model Using Optic Nerve Head Fundus Photographs and OCT Imaging for Glaucoma Detection
Benton Chuter, Vedant Joshi, Shahin Hallaj, 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.
The British Journal of Ophthalmology
|
June 20, 2022
Macula structural and vascular differences in glaucoma eyes with and without high axial myopia
Jasmin Rezapour, Christopher Bowd, Jade Dohleman, et al.
American Journal of Ophthalmology
|
December 13, 2021
Bruch Membrane Opening Detection Accuracy in Healthy Eyes and Eyes With Glaucoma With and Without Axial High Myopia in an American and Korean Cohort
Jasmin Rezapour, James A Proudfoot, Christopher Bowd, 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.
Journal of Glaucoma
|
March 24, 2026
Macula Spatial Patterns and their Association with Central Visual Field Progression in Glaucoma using Artificial Intelligence
Golnoush Mahmoudinezhad, Sasan Moghimi, Varun Pawar, 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.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|
February 2, 2010
Intercomparison of methods for coincidence summing corrections in gamma-ray spectrometry
M-C Lépy, T Altzitzoglou, M J Anagnostakis, et al.
Page
of 21
Search research articles
Search
Showing results (191-200 of 205) with videos related to
Sort By:
Page
of 21
Ophthalmology Science
|
December 22, 2022
Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Rui Fan, Kamran Alipour, Christopher Bowd, et al.
Genes, Brain, and Behavior
|
July 29, 2017
Comprehensive analysis of two Shank3 and the Cacna1c mouse models of autism spectrum disorder
P A Kabitzke, D Brunner, D He, et al.
Ophthalmology Science
|
February 3, 2026
A Novel Multimodal Implementation of a Foundation Artificial Intelligence Model Using Optic Nerve Head Fundus Photographs and OCT Imaging for Glaucoma Detection
Benton Chuter, Vedant Joshi, Shahin Hallaj, 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.
The British Journal of Ophthalmology
|
June 20, 2022
Macula structural and vascular differences in glaucoma eyes with and without high axial myopia
Jasmin Rezapour, Christopher Bowd, Jade Dohleman, et al.
American Journal of Ophthalmology
|
December 13, 2021
Bruch Membrane Opening Detection Accuracy in Healthy Eyes and Eyes With Glaucoma With and Without Axial High Myopia in an American and Korean Cohort
Jasmin Rezapour, James A Proudfoot, Christopher Bowd, 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.
Journal of Glaucoma
|
March 24, 2026
Macula Spatial Patterns and their Association with Central Visual Field Progression in Glaucoma using Artificial Intelligence
Golnoush Mahmoudinezhad, Sasan Moghimi, Varun Pawar, 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.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|
February 2, 2010
Intercomparison of methods for coincidence summing corrections in gamma-ray spectrometry
M-C Lépy, T Altzitzoglou, M J Anagnostakis, et al.
Page
of 21