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Meeting Abstract (7)
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Investigative Ophthalmology & Visual Science (7)
Translational Vision Science & Technology (2)

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ARVO Annual Meeting Abstract (7)
Articles (1)
Special Issue (1)

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Eye Anatomy and Disorders (2)
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datasets (2)
training (2)
cell culture techniques (1)
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pathology (1)
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ARVO Annual Meeting Abstract June 2024

Binary Classification of OCT Images using the Retina Foundation Model on Limited Data

David Kuo; Qitong Gao; Miroslav Pajic; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1616.

ARVO Annual Meeting Abstract June 2023

Deep learning for longitudinal OCT retinal layer thickness and AMD progression prediction

Qitong Gao; Joshua Amason; Jay Rathinavelu; Miroslav Pajic; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):308.

ARVO Annual Meeting Abstract June 2022

Exploring Deep-Learning on SD-OCT images as an Effective Mitigation Technique for Hydroxychloroquine-Induced Retinal Toxicity

Harsh Bandhey; Amanda Del Risco; Qitong Gao; Jay Rathinavelu; Miroslav Pajic; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3330 – F0139.

ARVO Annual Meeting Abstract June 2022

An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD)

Qitong Gao; Joshua Amason; Amanda Del Risco; Praruj Pant; Terry Lee; Justin Ma; Jennifer Minjia Chang-Wolf; Jay Rathinavelu; Aditya Kotla; Miroslav Pajic; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3008 – F0278.

ARVO Annual Meeting Abstract June 2021

Deep learning approach for automated detection of retinal pathology from ultra-widefield retinal images

Mingzhe Hu; Joshua Amason; Terry Lee; Qitong Gao; Durga Borkar; Miroslav Pajic; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2129.

ARVO Annual Meeting Abstract June 2021

A deep learning-based automated tool for the identification of referable retinal pathology from multi-modal imaging sources

Qitong Gao; Joshua Amason; Scott Cousins; Miroslav Pajic; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2128.

Articles May 2021

Automated Identification of Referable Retinal Pathology in Teleophthalmology Setting

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Qitong Gao; Joshua Amason; Scott Cousins; Miroslav Pajic; Majda Hadziahmetovic
TAGS: datasets, pathology, training, diagnostic imaging
Trans. Vis. Sci. Tech.. 2021; 10(6):30. https://doi.org/10.1167/tvst.10.6.30

Includes: Supplemental Content

Special Issue June 2020

Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks

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Qitong Gao; Ying Xu; Joshua Amason; Anna Loksztejn; Scott Cousins; Miroslav Pajic; Majda Hadziahmetovic
TAGS: retinal pigment cell, retinal pigment epithelium, training, cell culture techniques, datasets, mice, choroid
Trans. Vis. Sci. Tech.. 2020; 9(2):31. https://doi.org/10.1167/tvst.9.2.31

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Deep Learning Approach for Automated Recognition of Retinal Pigment Epithelium Cell

Majda Hadziahmetovic; Qitong Gao; Ying Xu; Joshua Amason; Anna Loksztejn; Scott W Cousins; Miroslav Pajic

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2030.

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Online ISSN: 2164-2591

Investigative Ophthalmology & Visual Science
Journal of Vision
Translational Vision Science & Technology

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