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ARVO Annual Meeting Abstract June 2024

Improving laser targeting accuracy with Augmented Reality guidance in retinal laser therapy

Sangjun (Sarah) Eom; Miroslav Pajic; Maria Gorlatova; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):793.

ARVO Annual Meeting Abstract June 2024

RETICAD: A tool for generating dye-free fluorescein angiography and quantifying retinal disease activity

Colyn Munn; Lyna Kamintsky; Yonatan Serlin; Majda Hadziahmetovic; Jaime Levy; Oren Tomkins-Netzer; Alon Friedman; Alan Cruess

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3758.

ARVO Annual Meeting Abstract June 2024

Clinical Results of Therapeutic Interventions for Autoimmune Retinopathies

Ishani Kapoor; Swara Sarvepalli; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4420.

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 2024

Evaluating Performance of ResNet-50 and RETFound Image Classification Algorithms on Ultra-widefield Fundus Images

Nikhil Varma Gadiraju; David Kuo; Vahid Ownagh; Terry Lee; Lindsey A Chew; Grant A. Justin; Nita Valikodath; Stephanie Hsu; Miroslav Pajic; Majda Hadziahmetovic; Lejla Vajzovic

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1605.

ARVO Annual Meeting Abstract June 2024

Biomarkers Associated with Survival in Ocular Melanoma

Majda Hadziahmetovic; Swara Sarvepalli; Beth Bailey; Ishani Kapoor

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2434.

ARVO Annual Meeting Abstract June 2023

Augmented reality for retinal laser therapy

Sangjun (Sarah) Eom; Miroslav Pajic; Maria Gorlatova; Majda Hadziahmetovic

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):216.

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

An EHR-Based Predictive Model to Understand Lost-to-Follow-Up Risk in Patients with Diabetic Retinopathy

Durga S Borkar; Chun Xu; Majda Hadziahmetovic; Benjamin Goldstein

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2820 – A0150.

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 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 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.

ARVO Annual Meeting Abstract June 2021

Remote diagnosis of referable retinal pathology in diabetic patients visiting primary care clinic

Majda Hadziahmetovic; Joshua Amason; Terry Lee; Scott Cousins

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1147.

Articles May 2021

Automated Identification of Referable Retinal Pathology in Teleophthalmology Setting

PDF

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

PDF

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.

ARVO Annual Meeting Abstract July 2019

Remote diagnosis of referable macular pathology in high disease prevalence communities

Majda Hadziahmetovic; Priyatham S Mettu; Scott W Cousins

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6126.

ARVO Annual Meeting Abstract June 2017

The region-dependent neovascularization and macular layer-specific edema and ischemia in proliferative diabetic retinopathy

Weiye Li; Majda Hadziahmetovic; Jason Lange

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):81.

ARVO Annual Meeting Abstract June 2015

Two-year follow-up on characteristics of patients with primary open angle glaucoma at Drexel Eye Physicians in Philadelphia, a high-risk population.

Majda Hadziahmetovic; Sultan Ahmed Ghuman; Jessica M Ackert

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):5018.

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Improving laser targeting accuracy with Augmented Reality guidance in retinal laser therapy

RETICAD: A tool for generating dye-free fluorescein angiography and quantifying retinal disease activity

Clinical Results of Therapeutic Interventions for Autoimmune Retinopathies

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

Evaluating Performance of ResNet-50 and RETFound Image Classification Algorithms on Ultra-widefield Fundus Images

Biomarkers Associated with Survival in Ocular Melanoma

Augmented reality for retinal laser therapy

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

An EHR-Based Predictive Model to Understand Lost-to-Follow-Up Risk in Patients with Diabetic Retinopathy

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)

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

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

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

Remote diagnosis of referable retinal pathology in diabetic patients visiting primary care clinic

Automated Identification of Referable Retinal Pathology in Teleophthalmology Setting

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

Deep Learning Approach for Automated Recognition of Retinal Pigment Epithelium Cell

Remote diagnosis of referable macular pathology in high disease prevalence communities

The region-dependent neovascularization and macular layer-specific edema and ischemia in proliferative diabetic retinopathy

Two-year follow-up on characteristics of patients with primary open angle glaucoma at Drexel Eye Physicians in Philadelphia, a high-risk population.

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