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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 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

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

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

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

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

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

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

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

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:

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

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

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:

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

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

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

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

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

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

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

Objective Assessment of the Contrast Sensitivity Function using the nGoggle

Effect of Mobile Phone Distraction on Driving Performance in Patients with 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

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

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

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