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Glaucoma October 2023

Normative Percentiles of Retinal Nerve Fiber Layer Thickness and Glaucomatous Visual Field Loss

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Rishabh Singh; Franziska G. Rauscher; Yangjiani Li; Mohammad Eslami; Saber Kazeminasab; Nazlee Zebardast; Mengyu Wang; Tobias Elze
TAGS: blindness, glaucoma, glaucomatous visual field defect, retinal nerve fiber layer, spectral domain-optical coherence tomography
Trans. Vis. Sci. Tech.. 2023; 12(10):13. https://doi.org/10.1167/tvst.12.10.13

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract June 2023

The Impact of Age-Related Macular Degeneration on Retinal Layers Quantified by Deep Learning

Yu Tian; Franziska G. Rauscher; Tobias Elze; Yan Luo; Min Shi; Saber Kazeminasab Hashemabad; Mohammad Eslami; Kerstin Wirkner; Thomas Peschel; Markus Loeffler; Christoph Engel; Toralf Kirsten; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PP0014.

ARVO Imaging in the Eye Conference Abstract June 2023

Assessing Retinal Layers' Association with Diabetes using a Deep Learning Framework

Yan Luo; Franziska G. Rauscher; Tobias Elze; Yu Tian; Min Shi; Saber Kazeminasab Hashemabad; Mohammad Eslami; Kerstin Wirkner; Thomas Peschel; Michael Stumvoll; Berend Isermann; Matthias Blueher; Markus Loeffler; Toralf Kirsten; Thomas Ebert; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB0033.

ARVO Imaging in the Eye Conference Abstract June 2023

Improving structure-function correlations in mild glaucoma by aligning retinal nerve fiber layer thickness (RNFLT) maps to compensate for individual eye anatomy

Hannah Rana; Tobias Elze; Mohammad Eslami; Yan Luo; Sajib Saha; Min Shi; Yu Tian; Nazlee Zebardast; Mengyu Wang; Saber Kazeminasab Hashemabad

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB0026.

ARVO Imaging in the Eye Conference Abstract June 2023

Deep Learning based Adversarial Disturbances in Fundus Image Analysis

Mohammad Eslami; Lakshmi Sritan Motati; Rohan Kalahasty; Saber Kazeminasab Hashemabad; Min Shi; Yan Luo; Yu Tian; Nazlee Zebardast; Mengyu Wang; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB002.

ARVO Imaging in the Eye Conference Abstract June 2023

Deep Learning Prediction of Visual Field Combining Optic Nerve Head and Macular Optical Coherence Tomography Scans

Min Shi; Yu Tian; Yan Luo; Mohammad Eslami; Saber Kazeminasab Hashemabad; Tobias Elze; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB0015.

ARVO Imaging in the Eye Conference Abstract June 2023

Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning in Glaucoma

Mengyu Wang; Tobias Elze; Louis Pasquale; Lucy Q. Shen; Saber Kazeminasab Hashemabad; Mohammad Eslami; Yan Luo; Yu Tian; Min Shi

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB0014.

ARVO Imaging in the Eye Conference Abstract June 2023

A graph neural network-based clustering method for glaucoma detection from OCT scans considering uncertainties in the number of clusters

Saber Kazeminasab Hashemabad; Mohammad Eslami; Min Shi; Yan Luo; Yu Tian; Sajib Saha; Nazlee Zebardast; Mengyu Wang; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB0013.

ARVO Annual Meeting Abstract June 2023

A Performance Evaluation Method for Unsupervised OCT Phenotype Discovery using Deep Learning

Saber Kazeminasab Hashemabad; Mohammad Eslami; Sayuri Sekimitsu; Min Shi; Yan Luo; Yu Tian; Tobias Elze; Mengyu Wang; Nazlee Zebardast

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):367.

ARVO Annual Meeting Abstract June 2023

Retinal Surface Contour is Predictive of Fast Glaucoma Progression with Deep Learning

Yan Luo; Min Shi; Yu Tian; Mohammad Eslami; Saber Kazeminasab Hashemabad; Jessica A. Sun; Aimee C. Chang; Tobias Elze; Lucy Q. Shen; Louis R Pasquale; Nazlee Zebardast; Michael Boland; David S. Friedman; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):338.

ARVO Annual Meeting Abstract June 2023

Explainable Deep Learning Prediction of 10-2 Visual Field from 24-2 Visual Field Using Transformer

Min Shi; Yu Tian; Yan Luo; Mohammad Eslami; Saber Kazeminasab Hashemabad; Tobias Elze; Lucy Q. Shen; Louis R Pasquale; Sarah R Wellik; C. Gustavo De Moraes; Jonathan S Myers; Michael V Boland; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3263.

ARVO Annual Meeting Abstract June 2023

Re-evaluation of using cup-to-disc ratio to identify structural and functional damage in glaucoma patients and suspects

Aliah McCalla; Mengyu Wang; Mohammad Eslami; Saber Kazeminasab Hashemabad; Yan Luo; Min Shi; Yu Tian; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2029.

ARVO Annual Meeting Abstract June 2023

Development and evaluation of an R library to align macula and optic disc centered optical coherence tomography (OCT) scans

Hui Wang; Franziska G. Rauscher; M. Elena Martinez-Perez; Thomas Peschel; Mohammad Eslami; Saber Kazeminasab; Yan Luo; Min Shi; Yu Tian; Markus Loeffler; Toralf Kirsten; Mengyu Wang; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):5012.

ARVO Annual Meeting Abstract June 2023

Circumpapillary retinal nerve fiber layer thickness (cpRNFLT) and medication related to the cardiovascular system

Qingying Jin; Franziska G. Rauscher; Mengyu Wang; Mohammad Eslami; Saber Kazeminasab Hashemabad; Yan Luo; Min Shi; Yu Tian; Markus Loeffler; Christoph Engel; Thomas Peschel; Toralf Kirsten; Kerstin Wirkner; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3716.

ARVO Annual Meeting Abstract June 2023

Visual Field (VF) change-based archetype analysis for early-stage glaucoma detection

Mohammad Eslami; Saber Kazeminasab Hashemabad; Min Shi; Yan Luo; Yu Tian; Nazlee Zebardast; Mengyu Wang; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):355.

ARVO Annual Meeting Abstract June 2023

Equitable Deep Learning for Glaucoma Progression Forecasting

Mengyu Wang; Tobias Elze; Louis R Pasquale; Lucy Q. Shen; Saber Kazeminasab Hashemabad; Mohammad Eslami; Min Shi; Yu Tian; Yan Luo

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):340.

ARVO Annual Meeting Abstract June 2023

Predicting Personalized Near-Normal Retinal Nerve Fiber Layer Thickness for Glaucoma Patients with Deep Learning

Yu Tian; Min Shi; Yan Luo; Mohammad Eslami; Saber Kazeminasab Hashemabad; Tobias Elze; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1128.

ARVO Annual Meeting Abstract June 2023

Genome wide discovery via feature space mapping of deep-learning derived clinical OCT phenotypes to the UK biobank

Nazlee Zebardast; Saber Kazeminasab Hashemabad; Yan Zhao; Sayuri Sekimitsu; Kanza Aziz; Mohammad Eslami; Mengyu Wang; Tobias Elze; Janey L Wiggs

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):980.

ARVO Annual Meeting Abstract June 2023

Evaluation of Landmark Localization Models for Fundus Imaging Conditions

Rohan Kalahasty; Lakshmi Sritan Motati; Saber Kazeminasab Hashemabad; Min Shi; Yan Luo; Yu Tian; Nazlee Zebardast; Mengyu Wang; Tobias Elze; Mohammad Eslami

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):267.

ARVO Annual Meeting Abstract June 2023

Evaluation of Robustness of Disc/Cup Segmentation in Different Fundus Imaging Conditions

Lakshmi Sritan Motati; Rohan Kalahasty; Saber Kazeminasab Hashemabad; Min Shi; Yan Luo; Yu Tian; Nazlee Zebardast; Mengyu Wang; Tobias Elze; Mohammad Eslami

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1129.

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Normative Percentiles of Retinal Nerve Fiber Layer Thickness and Glaucomatous Visual Field Loss

The Impact of Age-Related Macular Degeneration on Retinal Layers Quantified by Deep Learning

Assessing Retinal Layers' Association with Diabetes using a Deep Learning Framework

Improving structure-function correlations in mild glaucoma by aligning retinal nerve fiber layer thickness (RNFLT) maps to compensate for individual eye anatomy

Deep Learning based Adversarial Disturbances in Fundus Image Analysis

Deep Learning Prediction of Visual Field Combining Optic Nerve Head and Macular Optical Coherence Tomography Scans

Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning in Glaucoma

A graph neural network-based clustering method for glaucoma detection from OCT scans considering uncertainties in the number of clusters

A Performance Evaluation Method for Unsupervised OCT Phenotype Discovery using Deep Learning

Retinal Surface Contour is Predictive of Fast Glaucoma Progression with Deep Learning

Explainable Deep Learning Prediction of 10-2 Visual Field from 24-2 Visual Field Using Transformer

Re-evaluation of using cup-to-disc ratio to identify structural and functional damage in glaucoma patients and suspects

Development and evaluation of an R library to align macula and optic disc centered optical coherence tomography (OCT) scans

Circumpapillary retinal nerve fiber layer thickness (cpRNFLT) and medication related to the cardiovascular system

Visual Field (VF) change-based archetype analysis for early-stage glaucoma detection

Equitable Deep Learning for Glaucoma Progression Forecasting

Predicting Personalized Near-Normal Retinal Nerve Fiber Layer Thickness for Glaucoma Patients with Deep Learning

Genome wide discovery via feature space mapping of deep-learning derived clinical OCT phenotypes to the UK biobank

Evaluation of Landmark Localization Models for Fundus Imaging Conditions

Evaluation of Robustness of Disc/Cup Segmentation in Different Fundus Imaging Conditions

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