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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

Trans. Vis. Sci. Tech.. 2021; 10(1):12. doi: https://doi.org/10.1167/tvst.10.1.12

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

Effect of diabetes control on rates of visual field loss in patients with glaucoma.

Nicholas Johnson; Alessandro Adad Jammal; Felipe A Medeiros; Leonardo Shigueoka; Eduardo Mariottoni

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3891. 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

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 September 2016

Sensitivity and specificity of Machine Learning Classifiers using SD-OCT and Standard Automated Perimetry compared to Glaucoma Specialists, General Ophthalmologists, the OCT database and Anderson's Visual Field (VF) criteria

Leonardo Shigueoka; Edson Gomi; Marcelo Dias; Vital P Costa

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):384. doi:

ARVO Annual Meeting Abstract April 2014

Phaconeedling versus phaco-retrabeculectomy in the treatment of patients with concomitant cataract and failed trabeculectomy

Leonardo Seidi Shigueoka; Jose Paulo C Vasconcellos; Vital P Costa

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):3156. doi:

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