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Retina January 2023

Retinal Vascular Changes in Alzheimer's Dementia and Mild Cognitive Impairment: A Pilot Study Using Ultra-Widefield Imaging

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Emma Pead; Atalie C. Thompson; Dilraj S. Grewal; Sarah McGrory; Cason B. Robbins; Justin P. Ma; Kim G. Johnson; Andy J. Liu; Charlene Hamid; Emanuele Trucco; Craig W. Ritchie; Graciela Muniz; Imre Lengyel; Baljean Dhillon; Sharon Fekrat; Tom MacGillivray
TAGS: alzheimer's disease, diagnostic imaging, minimal cognitive impairment, pilot projects
Trans. Vis. Sci. Tech.. 2023; 12(1):13. doi: https://doi.org/10.1167/tvst.12.1.13

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2022

Assessing the relationship between contrast sensitivity and lower extremity function in the Brain Networks and Mobility Function (B-NET) study

Atalie C. Thompson; Michael E Miller; Jeff D. Williamson; Christina E Hugenschmidt; Felipe A Medeiros; Paul Laurienti; Steve Kritchevsky

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2262 – F0470. doi:

ARVO Annual Meeting Abstract June 2022

Racial and Gender Differences in the Natural Lens Detected on Dual-Energy (DE) CT

Javier Andres Nahmias; Kevin Hiatt; James Grier Bomar; Thomas G West; Paul Michael Bunch; Marc Benayoun; Chris Lack; Jeffrey R Sachs; Atalie C. Thompson

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):4102 – F0066. doi:

ARVO Annual Meeting Abstract June 2021

Agreement between trend-based and qualitative analysis of the retinal nerve fiber layer thickness for glaucoma progression on Spectral domain-optical coherence tomography

Atalie C. Thompson; Ang Li; Sanjay Asrani

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1830. doi:

ARVO Annual Meeting Abstract June 2021

Analyzing the Retinal and Choroidal Vasculature and Structure in Cognitively Healthy Individuals at Higher Genetic Risk for Alzheimer’s Disease using a Convolutional Neural Network

Cason Robbins; Dilraj Singh Grewal; Dong Wang; Clayton Wisely; Ricardo Henao; Jia Min Lee; Rupesh V Agrawal; Srinath Soundararajan; Atalie C. Thompson; Brenda Plassman; Eleonora M Lad; Heather Whitson; Lawrence Carin; Sharon Fekrat

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2489. doi:

ARVO Annual Meeting Abstract June 2021

Factors Associated with Ophthalmology Referral from a Teleretinal Screening Program in a Federally Qualified Health Center

Delaram Mirzania; Ailin Song; Nicholas Johnson; Alexandria Ayala; Kelly Muir; Atalie C. Thompson

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1146. doi:

Articles January 2021

Predicting Age From Optical Coherence Tomography Scans With Deep Learning

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Leonardo S. Shigueoka; Eduardo B. Mariottoni; Atalie C. Thompson; Alessandro A. Jammal; Vital P. Costa; Felipe A. Medeiros
TAGS: deep learning, optical coherence tomography, spectral domain-optical coherence tomography, retinal nerve fiber layer, aging
Trans. Vis. Sci. Tech.. 2021; 10(1):12. doi: https://doi.org/10.1167/tvst.10.1.12

Glaucoma November 2020

The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma

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Alessandro A. Jammal; Samuel I. Berchuck; Atalie C. Thompson; Vital P. Costa; Felipe A. Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(13):8. doi: https://doi.org/10.1167/iovs.61.13.8

Includes: Supplemental Content

Special Issue July 2020

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

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Atalie C. Thompson; Alessandro A. Jammal; Felipe A. Medeiros
TAGS: deep learning, glaucoma, screening
Trans. Vis. Sci. Tech.. 2020; 9(2):42. doi: https://doi.org/10.1167/tvst.9.2.42

ARVO Annual Meeting Abstract June 2020

Co-prevalence of Alzheimer’s Disease and Age-Related Macular Degeneration Established by Histopathologic Diagnosis

Vivienne Fang; Atalie C Thompson; Eric J Schwaber; Maria Gomez-Caraballo; Sandra S Stinnett; Heather E Whitson; Eleonora M Lad

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2264. doi:

ARVO Annual Meeting Abstract June 2020

Risk Factors for Suprachoroidal Hemorrhage and Their Relationship to Morbidity and Mortality

Mitchell Garrison Nash; Atalie C. Thompson; Clayton Wisely; Eric Attila Postel; Leon Herndon

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3161. doi:

ARVO Annual Meeting Abstract June 2020

From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil

Tais Estrela; Eduardo Bicalho Mariottoni; Tabatta Graciolli; Nubia Chouchounova; Nara Ogata; Mariana Siqueira; Carla Urata; Leonardo Shigueoka; Alessandro A Jammal; Atalie C. Thompson; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4539. doi:

ARVO Annual Meeting Abstract June 2020

The Effect of Intraocular Pressure Control on Rates of Glaucomatous Structural Loss in a Large Clinical Population

Alessandro A Jammal; Eduardo Bicalho Mariottoni; Atalie C. Thompson; Samuel Berchuck; Tais Estrela; Leonardo Shigueoka; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5196. doi:

ARVO Annual Meeting Abstract June 2020

Repeatability, Interocular Symmetry, and Correlation with Age of Peripapillary Optical Coherence Tomography Angiography Parameters in Healthy Eyes

Cason B Robbins; Dilraj Grewal; Atalie C Thompson; Stephen Yoon; Brenda Plassman; Sharon Fekrat

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5343. doi:

ARVO Annual Meeting Abstract June 2020

Predicting Future Rates of Retinal Nerve Fiber Layer Loss from Deep Learning Assessment of Baseline Optic Disc Photographs

Atalie C. Thompson; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Leonardo Shigueoka; Tais Estrela; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4533. doi:

ARVO Annual Meeting Abstract June 2020

Comparison of the performance of a Machine-to-Machine (M2M) deep learning algorithm versus human graders for glaucoma screening in teleretinal fundus images

Delaram Mirzania; Atalie C Thompson; Eduardo Mariottoni; Leonardo Shigueoka; Kelly Muir; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4545. doi:

ARVO Annual Meeting Abstract June 2020

Optical Coherence Tomography Angiography Fractal Dimension in Alzheimer’s Disease, Mild Cognitive Impairment and Cognitively Healthy Controls

Sophie Cai; Calum Gray; Cason B Robbins; Atalie C. Thompson; Stephen Yoon; Bryce Polascik; Charlene Hamid; Tom MacGillivray; Sharon Fekrat; Dilraj Grewal

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5325. doi:

ARVO Annual Meeting Abstract July 2019

Clinical outcomes following the triple procedure

Obi Umunakwe; Susan Wakil; Atalie C. Thompson; Glenn J Jaffe; Terry Kim; Leon Herndon

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6646. doi:

ARVO Annual Meeting Abstract July 2019

Deep Learning Segmentation-Free Assessment of Retinal Nerve Fiber Layer in OCT Scans

Eduardo Bicalho Mariottoni; Alessandro A Jammal; Carla Urata; Atalie C. Thompson; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1508. doi:

ARVO Annual Meeting Abstract July 2019

A Deep Learning Algorithm can Predict Retinal Nerve Fiber Layer Thickness with Lower Long-term Variability than Conventional Automated Segmentation

Carla Urata; Eduardo Bicalho Mariottoni; Alessandro A Jammal; Atalie C. Thompson; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1517. doi:

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Retinal Vascular Changes in Alzheimer's Dementia and Mild Cognitive Impairment: A Pilot Study Using Ultra-Widefield Imaging

Assessing the relationship between contrast sensitivity and lower extremity function in the Brain Networks and Mobility Function (B-NET) study

Racial and Gender Differences in the Natural Lens Detected on Dual-Energy (DE) CT

Agreement between trend-based and qualitative analysis of the retinal nerve fiber layer thickness for glaucoma progression on Spectral domain-optical coherence tomography

Analyzing the Retinal and Choroidal Vasculature and Structure in Cognitively Healthy Individuals at Higher Genetic Risk for Alzheimer’s Disease using a Convolutional Neural Network

Factors Associated with Ophthalmology Referral from a Teleretinal Screening Program in a Federally Qualified Health Center

Predicting Age From Optical Coherence Tomography Scans With Deep Learning

The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

Co-prevalence of Alzheimer’s Disease and Age-Related Macular Degeneration Established by Histopathologic Diagnosis

Risk Factors for Suprachoroidal Hemorrhage and Their Relationship to Morbidity and Mortality

From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil

The Effect of Intraocular Pressure Control on Rates of Glaucomatous Structural Loss in a Large Clinical Population

Repeatability, Interocular Symmetry, and Correlation with Age of Peripapillary Optical Coherence Tomography Angiography Parameters in Healthy Eyes

Predicting Future Rates of Retinal Nerve Fiber Layer Loss from Deep Learning Assessment of Baseline Optic Disc Photographs

Comparison of the performance of a Machine-to-Machine (M2M) deep learning algorithm versus human graders for glaucoma screening in teleretinal fundus images

Optical Coherence Tomography Angiography Fractal Dimension in Alzheimer’s Disease, Mild Cognitive Impairment and Cognitively Healthy Controls

Clinical outcomes following the triple procedure

Deep Learning Segmentation-Free Assessment of Retinal Nerve Fiber Layer in OCT Scans

A Deep Learning Algorithm can Predict Retinal Nerve Fiber Layer Thickness with Lower Long-term Variability than Conventional Automated Segmentation

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