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ARVO Annual Meeting Abstract June 2020

Visual Crowding in Glaucoma: Structural and Functional Relationships

James Stringham; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Tais Estrela; Carla Urata; Leonardo Shigueoka; Nara Ogata; Henry Tseng; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3214. 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 July 2019

The Relationship Between Machine Learning-Derived Binocular Patterns of Visual Field Loss and Patient-Reported Disability in Glaucoma

Nara Ogata; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Carla Urata; Susan Wakil; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2440. doi:

ARVO Annual Meeting Abstract July 2019

The Relationship between Asymmetries of Corneal Properties and Rates of Visual Field Progression in Glaucoma Patients

Tais Estrela; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Carla Urata; Nara Ogata; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6199. doi:

ARVO Annual Meeting Abstract July 2019

Detecting Retinal Nerve Fiber Layer Segmentation Errors on Spectral Domain-Optical Coherence Tomography with a Deep Learning Algorithm

Alessandro A Jammal; Atalie C. Thompson; Nara Ogata; Eduardo Bicalho Mariottoni; Carla Urata; Vital P Costa; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2209. doi:

Glaucoma February 2019

Visual Crowding in Glaucoma

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Nara G. Ogata; Erwin R. Boer; Fábio B. Daga; Alessandro A. Jammal; James M. Stringham; Felipe A. Medeiros
TAGS: crowding, glaucoma, visual crowding
Invest. Ophthalmol. Vis. Sci.. 2019; 60(2):538-543. doi: https://doi.org/10.1167/iovs.18-25150

Glaucoma September 2018

Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study

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Fábio B. Daga; Nara G. Ogata; Felipe A. Medeiros; Rachel Moran; Jeffrey Morris; Linda M. Zangwill; Robert N. Weinreb; John M. Nolan
TAGS: glaucoma, macular pigment, vision, diet, carotenoids
Invest. Ophthalmol. Vis. Sci.. 2018; 59(11):4471-4476. doi: https://doi.org/10.1167/iovs.18-24170

ARVO Annual Meeting Abstract July 2018

Why do Some Glaucomatous Eyes Lose a Lot More Nerve Tissue than Others by the Time of First Appearance of a Visual Field Defect?

Courtney Lynne Ondeck; Alessandro Adad Jammal; Nara Ogata; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4062. doi:

ARVO Annual Meeting Abstract July 2018

A Structural and Functional Machine Learning Classifier Improves Prediction of Patient-Reported Disability in Glaucoma

Susan Wakil; Alessandro Adad Jammal; Nara Ogata; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4985. doi:

ARVO Annual Meeting Abstract July 2018

Visual Field Progression in Eyes with Seemingly Well-Controlled Intraocular Pressure

Bianca Nicolela Nicolela Susanna; Nara Ogata; Alessandro Adad Jammal; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1996. doi:

ARVO Annual Meeting Abstract July 2018

What amount of visual field loss is associated with visual impairment in glaucoma?

Alessandro Jammal; Nara Gravina Ogata; Fabio Bernardi Daga; Ricardo Y Abe; Vital P Costa; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5101. doi:

ARVO Annual Meeting Abstract July 2018

The Relationship Between Machine Learning-Derived Patterns of Visual Field Loss and Patient-Reported Disability in Glaucoma

Nara Gravina Ogata; Alessandro Adad Jammal; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5113. doi:

ARVO Annual Meeting Abstract June 2017

Detecting Preperimetric Glaucoma with the nGoggle, a Portable Brain-Computer Interface for Assessing Neural Damage

Masaki Nakanishi; Yu-Te Wang; Fabio B. Daga; Tzyy-Ping Jung; John Zao; Nara G. Ogata; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):4745. doi:

ARVO Annual Meeting Abstract June 2017

Comparison between the nGoggle and Optical Coherence Tomography for Detecting Glaucoma

Fabio Bernardi Daga; Masaki Nakanishi; Yu-Te Wang; Tzyy-Ping Jung; John Zao; Nara G. Ogata; Ivan Maynart Tavares; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):4746. doi:

ARVO Annual Meeting Abstract June 2017

Objective Assessment of the Contrast Sensitivity Function using the nGoggle

Yute Wang; Masaki Nakanishi; Fabio Bernardi Daga; Nara G. Ogata; John Zao; Tzyy-Ping Jung; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5843. doi:

ARVO Annual Meeting Abstract June 2017

Signal-to-Noise Ratio for Detection of Glaucoma Progression Using a Combined Index of Structure and Function

Alberto Diniz-Filho; Fabio B Daga; Linda M Zangwill; Nara G. Ogata; Robert N Weinreb; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5835. doi:

ARVO Annual Meeting Abstract June 2017

Visual Function Measurements from the nGoggle are Associated with Patient-Reported Quality of Life in Glaucoma

Carolina Nicolela Susanna; Fabio B Daga; Masaki Nakanishi; Bianca Nicolela Susanna; Yu-Te Wang; Remo Susanna; Nara G. Ogata; John Zao; Tzyy-Ping Jung; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):3298. doi:

ARVO Annual Meeting Abstract June 2017

Effect of Mobile Phone Distraction on Driving Performance in Patients with Glaucoma

Nara G. Ogata; Fabio Daga; Erwin R Boer; Remo Susanna; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2880. doi:

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Visual Crowding in Glaucoma: Structural and Functional Relationships

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 Relationship Between Machine Learning-Derived Binocular Patterns of Visual Field Loss and Patient-Reported Disability in Glaucoma

The Relationship between Asymmetries of Corneal Properties and Rates of Visual Field Progression in Glaucoma Patients

Detecting Retinal Nerve Fiber Layer Segmentation Errors on Spectral Domain-Optical Coherence Tomography with a Deep Learning Algorithm

Visual Crowding in Glaucoma

Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study

Why do Some Glaucomatous Eyes Lose a Lot More Nerve Tissue than Others by the Time of First Appearance of a Visual Field Defect?

A Structural and Functional Machine Learning Classifier Improves Prediction of Patient-Reported Disability in Glaucoma

Visual Field Progression in Eyes with Seemingly Well-Controlled Intraocular Pressure

What amount of visual field loss is associated with visual impairment in glaucoma?

The Relationship Between Machine Learning-Derived Patterns of Visual Field Loss and Patient-Reported Disability in Glaucoma

Detecting Preperimetric Glaucoma with the nGoggle, a Portable Brain-Computer Interface for Assessing Neural Damage

Comparison between the nGoggle and Optical Coherence Tomography for Detecting Glaucoma

Objective Assessment of the Contrast Sensitivity Function using the nGoggle

Signal-to-Noise Ratio for Detection of Glaucoma Progression Using a Combined Index of Structure and Function

Visual Function Measurements from the nGoggle are Associated with Patient-Reported Quality of Life in Glaucoma

Effect of Mobile Phone Distraction on Driving Performance in Patients with Glaucoma

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