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Artificial Intelligence December 2024

Archetypal Analysis Reveals Consistent Visual Field Patterns for Stimulus Sizes III and V in Glaucoma and NAION

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David Szanto; Michael Wall; Luke X. Chong; Brian Woods; Tobias Elze; Jui-Kai Wang; Mona Garvin; Randy Kardon; Mark J. Kupersmith
TAGS: glaucoma, nonarteritic anterior ischemic optic neuropathy, visual fields, antithymoglobulin, arterial tortuosity syndrome, periodic paralysis, potassium-sensitive cardiodysrhythmic type
Trans. Vis. Sci. Tech.. 2024; 13(12):15. https://doi.org/10.1167/tvst.13.12.15

Includes: Supplemental Content

Neuro-ophthalmology December 2024

Relating Standardized Automated Perimetry Performed With Stimulus Sizes III and V in Eyes With Field Loss Due to Glaucoma and NAION

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David Szanto; Michael Wall; Luke X. Chong; Mark J. Kupersmith
TAGS: eye, glaucoma, nonarteritic anterior ischemic optic neuropathy, perimetry
Trans. Vis. Sci. Tech.. 2024; 13(12):8. https://doi.org/10.1167/tvst.13.12.8

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2024

Textural Analysis of OCT En-Face Images Predicts Spatial Patterns of Retinal Neuronal Loss at the Macula

Jui-Kai Wang; Zhi Chen; honghai Zhang; Brian Woods; David Szanto; Brett Johnson; Edward Linton; Milan Sonka; Mark J Kupersmith; Mona K Garvin; Randy H Kardon

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6180.

ARVO Annual Meeting Abstract June 2024

Frisén Grade Categorization in Papilledema using Vision Transformers

Asala Erekat; Brian Woods; Joseph Branco; Jui-Kai Wang; Mona K Garvin; Randy H Kardon; David Szanto; Ciaran Eising; Louis R Pasquale; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1596.

ARVO Annual Meeting Abstract June 2024

Fundus Features Relate to Severity of Visual Field Loss in Acute Non-Arteritic Anterior Ischemic Optic Neuropathy (NAION)

Brian Woods; David Szanto; Lola Stern; Jui-Kai Wang; Mona K Garvin; Joseph Branco; Aaron Golden; Louis R. Pasquale; Randy H Kardon; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6179.

ARVO Annual Meeting Abstract June 2024

Archetypal Analysis Demonstrates Visual Field Patterns of Loss and Evolution in Non-Arteritic Anterior Ischemic Optic Neuropathy

David Szanto; Brian Woods; Jui-Kai Wang; Tobias Elze; Mona K Garvin; Louis R Pasquale; Randy H Kardon; Joseph Branco; Asala Erekat; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1007.

ARVO Annual Meeting Abstract June 2024

Machine Learning Identifies Visual Disparities in Non-Arteritic Anterior Ischemic Optic Neuropathy at Presentation Between White and Asian Populations

Joseph Branco; David Szanto; Brian Woods; Jui-Kai Wang; Tobias Elze; Mona K Garvin; Louis R. Pasquale; Randy H Kardon; Mark J Kupersmith; Asala Erekat

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6178.

ARVO Annual Meeting Abstract June 2024

Generative video stimulation enhances neural-based visual performance biomarkers in patients with dry age-related macular degeneration

Dan Nemrodov; David Klein; Jesse Livezey; Stephanie Wolfer; Mark J Kupersmith; Srinivas Kondapalli; Adam Hanina

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5434.

Neuro-ophthalmology January 2024

Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders

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Jui-Kai (Ray) Wang; Edward F. Linton; Brett A. Johnson; Mark J. Kupersmith; Mona K. Garvin; Randy H. Kardon
TAGS: deep learning, maps, optic nerve, papilledema, venous air embolism, datasets, edema, retinal nerve fiber layer, placebos
Trans. Vis. Sci. Tech.. 2024; 13(1):13. https://doi.org/10.1167/tvst.13.1.13

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2023

A Hybrid Deep Learning and Optimal 3D Graph Search Approach Improves Retinal Layer Segmentation in Very Thin Retina

Jui-Kai Wang; Zhi Chen; Honghai Zhang; Yun Jae Choi; Brett A Johnson; Mark J Kupersmith; Milan Sonka; Mona K Garvin; Randy H Kardon

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):5448.

ARVO Annual Meeting Abstract June 2023

Patterns of Neuronal and Central Visual Field Loss in Optic Neuritis at Outcome Identified by Machine Learning

David Szanto; Jui-Kai Wang; Brian Woods; Tobias Elze; Mona K Garvin; Louis R Pasquale; Randy H Kardon; Joseph Branco; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):542.

ARVO Annual Meeting Abstract June 2022

Archetypal Longitudinal Visual Field Analysis of Optic Neuritis and Idiopathic Intracranial Hypertension in a “Real World” Clinical Setting

Joseph Branco; Elena Solli; Tobias Elze; Wang Jui-Kai; Randy H Kardon; Louis R Pasquale; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):725 – F0453.

ARVO Annual Meeting Abstract June 2022

Grading and Quantification of Papilledema from Fundus Photographs Using Convolutional Neural Networks

Elena Solli; Wang Jui-Kai; Joseph Branco; Tobias Elze; Randy H Kardon; Louis Pasquale; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):733 – F0461.

ARVO Annual Meeting Abstract June 2022

Specific MRI Sequences for Optic Nerve Improve Diagnosis and Reveal Clinical Associations in Acute Optic Neuritis and Chronic Optic Neuropathy

Mary Labowsky; Chang Sanders; Himanshu Sharma; Puneet Belani; Bradley Delman; Michael Schecht; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1577 – A0366.

ARVO Annual Meeting Abstract June 2022

Quantifying Spatial Patterns of OCT Total Retinal Thickness (TRT) in Papilledema Over Time using a Deep Learning Variational AutoEncoder

Wang Jui-Kai; Mona K Garvin; Mark J Kupersmith; Randy H Kardon

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):436.

Research Opportunities November 2021

Report From the National Eye Institute Workshop on Neuro-Ophthalmic Disease Clinical Trial Endpoints: Optic Neuropathies

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Leonard A. Levin; Mohor Sengupta; Laura J. Balcer; Mark J. Kupersmith; Neil R. Miller
TAGS: eye, optic nerve disorders, surrogate endpoints
Invest. Ophthalmol. Vis. Sci.. 2021; 62(14):30. https://doi.org/10.1167/iovs.62.14.30

Articles August 2021

Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension

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Hiten Doshi; Elena Solli; Tobias Elze; Louis R. Pasquale; Michael Wall; Mark J. Kupersmith
TAGS: antithymoglobulin, arterial tortuosity syndrome, blindness, body weight, datasets, eye, periodic paralysis, potassium-sensitive cardiodysrhythmic type, pseudotumor cerebri, unsupervised machine learning, visual field defects
Trans. Vis. Sci. Tech.. 2021; 10(9):37. https://doi.org/10.1167/tvst.10.9.37

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2021

Unsupervised Machine Learning Identifies Relevant Patterns of Loss, and Quantifies Response to Treatment in Visual Fields from Eyes with Idiopathic Intracranial Hypertension

Hiten Doshi; Elena Solli; Tobias Elze; Louis R Pasquale; Michael Wall; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2394.

ARVO Annual Meeting Abstract June 2021

Archetypal Analysis of Visual Fields in Optic Neuritis Reveals Functional Biomarkers Associated with Outcome and Treatment Response

Elena Solli; Hiten Doshi; Tobias Elze; Louis Pasquale; Michael Wall; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2101.

ARVO Annual Meeting Abstract June 2020

Defining the Best Functional and Structural Outcome Measures of Deficits After Optic Neuritis

Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3128.

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Archetypal Analysis Reveals Consistent Visual Field Patterns for Stimulus Sizes III and V in Glaucoma and NAION

Relating Standardized Automated Perimetry Performed With Stimulus Sizes III and V in Eyes With Field Loss Due to Glaucoma and NAION

Textural Analysis of OCT En-Face Images Predicts Spatial Patterns of Retinal Neuronal Loss at the Macula

Frisén Grade Categorization in Papilledema using Vision Transformers

Fundus Features Relate to Severity of Visual Field Loss in Acute Non-Arteritic Anterior Ischemic Optic Neuropathy (NAION)

Archetypal Analysis Demonstrates Visual Field Patterns of Loss and Evolution in Non-Arteritic Anterior Ischemic Optic Neuropathy

Machine Learning Identifies Visual Disparities in Non-Arteritic Anterior Ischemic Optic Neuropathy at Presentation Between White and Asian Populations

Generative video stimulation enhances neural-based visual performance biomarkers in patients with dry age-related macular degeneration

Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders

A Hybrid Deep Learning and Optimal 3D Graph Search Approach Improves Retinal Layer Segmentation in Very Thin Retina

Patterns of Neuronal and Central Visual Field Loss in Optic Neuritis at Outcome Identified by Machine Learning

Archetypal Longitudinal Visual Field Analysis of Optic Neuritis and Idiopathic Intracranial Hypertension in a “Real World” Clinical Setting

Grading and Quantification of Papilledema from Fundus Photographs Using Convolutional Neural Networks

Specific MRI Sequences for Optic Nerve Improve Diagnosis and Reveal Clinical Associations in Acute Optic Neuritis and Chronic Optic Neuropathy

Quantifying Spatial Patterns of OCT Total Retinal Thickness (TRT) in Papilledema Over Time using a Deep Learning Variational AutoEncoder

Report From the National Eye Institute Workshop on Neuro-Ophthalmic Disease Clinical Trial Endpoints: Optic Neuropathies

Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension

Unsupervised Machine Learning Identifies Relevant Patterns of Loss, and Quantifies Response to Treatment in Visual Fields from Eyes with Idiopathic Intracranial Hypertension

Archetypal Analysis of Visual Fields in Optic Neuritis Reveals Functional Biomarkers Associated with Outcome and Treatment Response

Defining the Best Functional and Structural Outcome Measures of Deficits After Optic Neuritis

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