Search | TVST | ARVO Journals

Showing 1 – 20 of 70

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Imaging in the Eye Conference Abstract July 2024

Distinguishing image quality from gradeability: the relationship between quality and gradeability for color fundus photographs in glaucoma detection

Justin Huynh; Benton Chuter; Evan Walker; Ruben Gonzalez; Christopher Bowd; JALIL JALILI; Mark Christopher; Robert N. Weinreb; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PB00115.

ARVO Imaging in the Eye Conference Abstract July 2024

Retinal Nerve Fiber Layer Thickness Prediction from Longitudinal OCT Imaging using Deep Learning

JALIL JALILI; Evan Walker; Christopher Bowd; Akram Belghith; Michael H. Goldbaum; Massimo A. Fazio; Christopher A. Girkin; Gustavo De Moraes; Jeffrey M. Liebman; Robert N. Weinreb; Linda Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PP008.

ARVO Imaging in the Eye Conference Abstract July 2024

The Case for Federated Learning: Challenges and Opportunities in Multi-Institutional Deep Learning Approaches for Ophthalmic Imaging

Benton Chuter; Scott Kinder; Justin Huynh; Ruben Gonzalez; Sreenidhi Iyengar; Benjamin Xu; Nazlee Zebardast; Mohammad Eslami; Saber Kazeminasab; Tobias Elze; Mark Christopher; Linda Zangwill; Jayashree Kalpathy-Cramer; Praveer Singh; Sally Baxter

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PP007.

ARVO Annual Meeting Abstract June 2024

A Deep Learning Approach Accurately Estimates RNFL Thickness in OCT Scans Where Instrument-Native Segmentation Fails

Benton Gabriel Chuter; Justin Huynh; Mark Christopher; Ruben Cesar Gonzalez; Evan Walker; Sally Liu Baxter; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Robert Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2385.

ARVO Annual Meeting Abstract June 2024

Predicting Spaceflight Associated Neuro-ocular Syndrome Using Artificial Intelligence

Mark Christopher; Jalil Jalili; Robert Weinreb; Steven Laurie; Brandon Macias; Alex S Huang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1600.

ARVO Annual Meeting Abstract June 2024

Rates of choroidal microvascular dropout and macular structural changes in glaucoma eyes with and without high myopia

Anuwat Jiravarnsirikul; Akram Belghith; Jasmin Rezapour; Min Hee Suh; Jost B. Jonas; Evan Walker; Mark Christopher; Massimo Antonio Fazio; Robert Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4868.

ARVO Annual Meeting Abstract June 2024

Barriers to automated visual field perimetry data extraction, harmonization, and representation in OMOP

Shahin Hallaj; Swarup S. Swaminathan; Sophia Wang; Benjamin Y. Xu; Dilru Amarasekera; Michael V. Boland; Brian Craig Stagg; Michelle Hribar; Kaveri Thakoor; Kerry E. Goetz; Jonathan S. Myers; Aaron Y Lee; Mark Christopher; Linda M Zangwill; Robert Weinreb; Sally Liu Baxter

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4793.

ARVO Annual Meeting Abstract June 2024

Estimation of 10-2 Visual Field Maps Based on 24-2 Visual Field Measurements in Glaucoma

Michael Saheb Kashaf; Golnoush Mahmoudinezhad; Sasan Moghimi; Jiacheng Cheng; Yu Xiang; Liyang Ru; Siavash Beheshtaein; Evan Walker; Mohsen Adelpour; Mark Christopher; Jeffrey M Liebmann; Christopher A Girkin; Massimo A. Fazio; Linda M Zangwill; Nuno Vasconcelos; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2365.

ARVO Annual Meeting Abstract June 2024

Grammar for Text Description of the Ocular Fundus

Michael Henry Goldbaum; Christopher Bowd; Linda M Zangwill; Mark Christopher; Sally Liu Baxter

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3748.

ARVO Annual Meeting Abstract June 2024

Evaluating GPT-4 Diagnostic Proficiency in Glaucoma Detection through Fundus Image Analysis

JALIL JALILI; Anuwat Jiravarnsirikul; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Sally L. Baxter; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2832.

ARVO Annual Meeting Abstract June 2024

From Visual Field to Visual Field: 10-2 Visual Field Map Prediction from 24-2 Visual Field Using Machine Learning and Detection of Central Visual Field Progression

Golnoush Mahmoudinezhad; Sasan Moghimi; Yu Xuan Yong; Jiacheng Cheng; Liyang Ru; Siavash Beheshtaein; Evan Walker; Mohsen Adelpour; Leo Meller; Mark Christopher; Jeffrey M. Liebmann; Christopher A Girkin; Massimo A. Fazio; Linda M Zangwill; Nuno Vasconcelos; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6478.

ARVO Annual Meeting Abstract June 2024

Deep Learning Prediction of Glaucoma Progression using Multimodal Transformers and Longitudinal Clinical Data

Justin Huynh; Ruben Cesar Gonzalez; Evan Walker; Benton Gabriel Chuter; Alireza Kamalipour; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Massimo Antonio Fazio; Christopher A Girkin; Carlos Gustavo De Moraes; Jeffrey M Liebmann; Robert Weinreb; Sally Liu Baxter; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1623.

Artificial Intelligence January 2024

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

PDF

Benton Chuter; Justin Huynh; Christopher Bowd; Evan Walker; Jasmin Rezapour; Nicole Brye; Akram Belghith; Massimo A. Fazio; Christopher A. Girkin; Gustavo De Moraes; Jeffrey M. Liebmann; Robert N. Weinreb; Linda M. Zangwill; Mark Christopher
TAGS: fundus photography, open-angle glaucoma, deep learning, glaucoma, datasets
Trans. Vis. Sci. Tech.. 2024; 13(1):23. https://doi.org/10.1167/tvst.13.1.23

ARVO Imaging in the Eye Conference Abstract June 2023

Deep Learning with Multimodal Data for Prediction of Glaucoma

Jimmy Chen; Rui Fan; Mark Christopher; Akram Belghith; Christopher Bowd; Michael Goldbaum; Massimo Fazio; Christopher Girkin; Gustavo De Moraes; Jeffrey Liebmann; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB0016.

ARVO Annual Meeting Abstract June 2023

Prediction of visual field progression based on initial OCT structure measurements using Artificial Intelligence

Sasan Moghimi; Golnoush Mahmoudinezhad; V. S. Raghu Parupudi; Vyshnavi S Krishan; Siddharth Shukla; Jiacheng Cheng; Siavash Beheshtaein; Kareem Latif; Takashi Nishida; Mark Christopher; Massimo A Fazio; Jeffrey M Liebmann; Christopher A Girkin; Linda M Zangwill; Nuno Vasconcelos; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):370.

ARVO Annual Meeting Abstract June 2023

Deep learning prediction of 24-2 visual field map using en-face OCT-Angiography microvascular images in glaucoma

Alireza Kamalipour; Sasan Moghimi; Pooya Khosravi; Takashi Nishida; Cristiana Vasile; Michael Saheb Kashaf; Jo-Hsuan Wu; Eleonora Micheletti; Gopikasree Gunasegaran; Golnoush Mahmoudinezhad; Evan Walker; Elizabeth Li; Kelvin Du; Mark Christopher; Linda M Zangwill; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1309.

ARVO Annual Meeting Abstract June 2023

Automated Measurement of RNFL Thickness from OCT Scans Using a Deep Learning Segmentation Free Approach

Benton Gabriel Chuter; Justin Huynh; Mark Christopher; Ruben Gonzalez; Evan Walker; Sally L. Baxter; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):359.

ARVO Annual Meeting Abstract June 2023

Multimodal Transformer Model to Detect Glaucoma from OCT and Retinal Nerve Fiber Layer (RNFL) Thickness

Justin Huynh; Ruben Gonzalez; Evan Walker; Benton Gabriel Chuter; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Sally L. Baxter; Robert N Weinreb; Ali Tafreshi; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):362.

ARVO Annual Meeting Abstract June 2023

Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements

Golnoush Mahmoudinezhad; Sasan Moghimi; Jiacheng Cheng; Liang Ru; Dongchen Yang; Siavash Beheshtaein; Kelvin H Du; Kareem Latif; Gopikasree Gunasegaran; Eleonora Micheletti; Takashi Nishida; Alireza Kamalipour; Mark Christopher; Linda M Zangwill; Nuno Vasconcelos; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2022.

ARVO Annual Meeting Abstract June 2023

Predicting Surgical Interventions for Glaucoma with Clinically Available Data

Ruben Gonzalez; Justin Huynh; Evan Walker; Bharanidharan Radha Saseendrakumar; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Massimo Antonio Fazio; Christopher A Girkin; Gustavo De Moraes; Jeffrey M Liebmann; Robert Weinreb; Sally L. Baxter; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):387.

1 2 3 4

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Specify Date Range

Distinguishing image quality from gradeability: the relationship between quality and gradeability for color fundus photographs in glaucoma detection

Retinal Nerve Fiber Layer Thickness Prediction from Longitudinal OCT Imaging using Deep Learning

The Case for Federated Learning: Challenges and Opportunities in Multi-Institutional Deep Learning Approaches for Ophthalmic Imaging

A Deep Learning Approach Accurately Estimates RNFL Thickness in OCT Scans Where Instrument-Native Segmentation Fails

Predicting Spaceflight Associated Neuro-ocular Syndrome Using Artificial Intelligence

Rates of choroidal microvascular dropout and macular structural changes in glaucoma eyes with and without high myopia

Barriers to automated visual field perimetry data extraction, harmonization, and representation in OMOP

Estimation of 10-2 Visual Field Maps Based on 24-2 Visual Field Measurements in Glaucoma

Grammar for Text Description of the Ocular Fundus

Evaluating GPT-4 Diagnostic Proficiency in Glaucoma Detection through Fundus Image Analysis

From Visual Field to Visual Field: 10-2 Visual Field Map Prediction from 24-2 Visual Field Using Machine Learning and Detection of Central Visual Field Progression

Deep Learning Prediction of Glaucoma Progression using Multimodal Transformers and Longitudinal Clinical Data

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

Deep Learning with Multimodal Data for Prediction of Glaucoma

Prediction of visual field progression based on initial OCT structure measurements using Artificial Intelligence

Deep learning prediction of 24-2 visual field map using en-face OCT-Angiography microvascular images in glaucoma

Automated Measurement of RNFL Thickness from OCT Scans Using a Deep Learning Segmentation Free Approach

Multimodal Transformer Model to Detect Glaucoma from OCT and Retinal Nerve Fiber Layer (RNFL) Thickness

Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements

Predicting Surgical Interventions for Glaucoma with Clinically Available Data

To View More...

You must be signed into an individual account to use this feature.