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Glaucoma August 2024

Impact of Demographics on Regional Visual Field Loss and Deterioration in Glaucoma

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Yueyin Pang; Melody Tang; Min Shi; Yu Tian; Yan Luo; Tobias Elze; Louis R. Pasquale; Nazlee Zebardast; Michael V. Boland; David S. Friedman; Lucy Q. Shen; Anagha Lokhande; Mengyu Wang
TAGS: blindness, demography, glaucoma, visual field defects, languages
Trans. Vis. Sci. Tech.. 2024; 13(8):25. https://doi.org/10.1167/tvst.13.8.25

Includes: Supplemental Content

Artificial Intelligence August 2024

Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data

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Min Shi; Anagha Lokhande; Yu Tian; Yan Luo; Mohammad Eslami; Saber Kazeminasab; Tobias Elze; Lucy Q. Shen; Louis R. Pasquale; Sarah R. Wellik; Carlos Gustavo De Moraes; Jonathan S. Myers; Nazlee Zebardast; David S. Friedman; Michael V. Boland; Mengyu Wang
TAGS: datasets, deep learning, glaucoma, humphrey visual field plot, eye
Trans. Vis. Sci. Tech.. 2024; 13(8):11. https://doi.org/10.1167/tvst.13.8.11

ARVO Imaging in the Eye Conference Abstract July 2024

A Practical Barrier: AI-Powered CDR Extraction in Fundus Photos

Mohammad Eslami; Lakshmi Sritan Motati; Rohan Kalahasty; Srikar Kusumanchi; Saber Kazeminasab; Min Shi; Yan Luo; Yu Tian; Dhruva Gupta; Milen Raytchev; Michael G. Morley; Mengyu Wang; Nazlee Zebardast; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PB0020.

ARVO Imaging in the Eye Conference Abstract July 2024

Genetically Adjusted Optic Cup to Disc Ratio (CDR) Using a Two-Phase Training Deep Learning Model

Saber Kazeminasab Hashemabad; Surya Pulukuri; Yan Zhao; Kanza Aziz; Sayuri Sekimitsu; Mohammad Eslami; Yan Luo; Min Shi; Yu Tian; Hannah Rana; Milen Raytchev; Mengyu Wang; Tobias Elze; Janey Wiggs; Nazlee Zebardast

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PB0027.

ARVO Annual Meeting Abstract June 2024

Feasibility of Identifying High-Risk Glaucoma Patients Before the Onset of Disease

Mohammad Eslami; Saber Kazeminasab Hashemabad; Hannah Rana; Milen Raytchev; Yan Luo; Min Shi; Yu Tian; Michael G. Morley; Nazlee Zebardast; Michael V. Boland; David S Friedman; Mengyu Wang; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1621.

ARVO Annual Meeting Abstract June 2024

An unsupervised deep learning method for identifying glaucoma progression patterns using longitudinal ganglion cell complex (GCC) scans

Saber Kazeminasab Hashemabad; Mohammad Eslami; Mousa Moradi; Hannah Rana; Min Shi; Yan Luo; Yu Tian; Milen Raytchev; Mengyu Wang; Tobias Elze; Nazlee Zebardast

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1626.

ARVO Annual Meeting Abstract June 2024

Improving Cup-Rim Segmentation by Fair Error-Bound Scaling With Segment Anything Model (SAM)

Lucy Zha; Yan Luo; Yu Tian; Min Shi; Leo A Kim; Tobias Elze; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2413.

ARVO Annual Meeting Abstract June 2024

Demographic Disparities in Diabetic Retinopathy Among US Eye Hospital Patients

Sergio Mendoza; Luo Song; Yan Luo; Yu Tian; Min Shi; Leo A Kim; Tobias Elze; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1812.

ARVO Annual Meeting Abstract June 2024

Detecting Glaucoma Using Iris Photos with Deep Learning

Abhilash Katuru; Iyad Majid; Min Shi; Yu Tian; Yan Luo; Tobias Elze; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1645.

ARVO Annual Meeting Abstract June 2024

Understanding Equity in Vision-and-Language Learning for Glaucoma Diagnosis with Deep Learning

Yan Luo; Min Shi; Yu Tian; Mohammad Eslami; Saber Kazeminasab Hashemabad; Hannah Rana; Tobias Elze; Lucy Q Shen; Louis R. Pasquale; Nazlee Zebardast; Michael V. Boland; David S Friedman; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):376.

ARVO Annual Meeting Abstract June 2024

External Eye Photos for Diabetic Retinopathy Detection with Deep Learning

Yu Tian; Min Shi; Yan Luo; Mohammad Eslami; Saber Kazeminasab Hashemabad; Hannah Rana; Leo A Kim; Louis R Pasquale; Meenakashi Gupta; Tobias Elze; Lucia Sobrin; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5635.

ARVO Annual Meeting Abstract June 2024

A New Deep Learning Technique Termed Fair Identity Scaling to Improve Model Equity for Diabetic Retinopathy Screening

Ava kouhana; Yan Luo; Yu Tian; Min Shi; Leo A Kim; Louis R. Pasquale; Meenakashi Gupta; Tobias Elze; Lucia Sobrin; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5633.

ARVO Annual Meeting Abstract June 2024

Machine and deep learning predictions of visual fields from spectral-domain optical coherence tomography retinal nerve fiber layer thickness maps in glaucoma vision loss

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

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1625.

ARVO Annual Meeting Abstract June 2024

Equitable Deep Learning for Glaucoma Screening with Fair Identity Normalization

Mengyu Wang; Yan Luo; Yu Tian; Lucy Q Shen; Tobias Elze; Nazlee Zebardast; Michael V. Boland; David S Friedman; Louis R. Pasquale; Min Shi

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1640.

ARVO Annual Meeting Abstract June 2024

Comparing Optical Coherence Tomography Scans and Scanning Laser Ophthalmoscopy Fundus Photos in Glaucoma Detection Defined by Functional Tests

Iyad Majid; Abhilash Katuru; Min Shi; Yu Tian; Yan Luo; In Young Chun; Tobias Elze; Louis R. Pasquale; Nazlee Zebardast; Michael V Boland; David S Friedman; Lucy Q Shen; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1631.

ARVO Annual Meeting Abstract June 2024

Personalizing Circumpapillary Retinal Nerve Fiber Layer Thickness Norms with Individual Retinal Anatomy in Glaucoma

Min Shi; Yan Luo; Yu Tian; Mohammad Eslami; Saber Kazeminasab Hashemabad; Hannah Rana; Tobias Elze; Lucy Q Shen; Louis R Pasquale; Nazlee Zebardast; Michael V. Boland; David S Friedman; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1619.

Refractive Intervention January 2024

Predicting Implantable Collamer Lens Vault Using Machine Learning Based on Various Preoperative Biometric Factors

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Yu Di; Huihui Fang; Yan Luo; Ying Li; Yanwu Xu
TAGS: biometry, lens (device), lens, crystalline, machine learning, preoperative care, datasets
Trans. Vis. Sci. Tech.. 2024; 13(1):8. https://doi.org/10.1167/tvst.13.1.8

Includes: Supplemental Content

Artificial Intelligence November 2023

Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma

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Min Shi; Jessica A. Sun; Anagha Lokhande; Yu Tian; Yan Luo; Tobias Elze; Lucy Q. Shen; Mengyu Wang
TAGS: artifacts, deep learning, glaucoma, maps, retinal nerve fiber layer
Trans. Vis. Sci. Tech.. 2023; 12(11):12. https://doi.org/10.1167/tvst.12.11.12

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract August 2023

From dyads to crowds: Perceptual unity of group interactions.

Jelena Ristic; Clara Colombatto; Luowei Yan

Journal of Vision. 2023; 23(9):5336. https://doi.org/10.1167/jov.23.9.5336

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.

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Impact of Demographics on Regional Visual Field Loss and Deterioration in Glaucoma

Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data

A Practical Barrier: AI-Powered CDR Extraction in Fundus Photos

Genetically Adjusted Optic Cup to Disc Ratio (CDR) Using a Two-Phase Training Deep Learning Model

Feasibility of Identifying High-Risk Glaucoma Patients Before the Onset of Disease

An unsupervised deep learning method for identifying glaucoma progression patterns using longitudinal ganglion cell complex (GCC) scans

Improving Cup-Rim Segmentation by Fair Error-Bound Scaling With Segment Anything Model (SAM)

Demographic Disparities in Diabetic Retinopathy Among US Eye Hospital Patients

Detecting Glaucoma Using Iris Photos with Deep Learning

Understanding Equity in Vision-and-Language Learning for Glaucoma Diagnosis with Deep Learning

External Eye Photos for Diabetic Retinopathy Detection with Deep Learning

A New Deep Learning Technique Termed Fair Identity Scaling to Improve Model Equity for Diabetic Retinopathy Screening

Machine and deep learning predictions of visual fields from spectral-domain optical coherence tomography retinal nerve fiber layer thickness maps in glaucoma vision loss

Equitable Deep Learning for Glaucoma Screening with Fair Identity Normalization

Comparing Optical Coherence Tomography Scans and Scanning Laser Ophthalmoscopy Fundus Photos in Glaucoma Detection Defined by Functional Tests

Personalizing Circumpapillary Retinal Nerve Fiber Layer Thickness Norms with Individual Retinal Anatomy in Glaucoma

Predicting Implantable Collamer Lens Vault Using Machine Learning Based on Various Preoperative Biometric Factors

Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma

From dyads to crowds: Perceptual unity of group interactions.

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

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