E. B. Mariottoni

发表

Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning

F. Medeiros, A. Jammal, E. B. Mariottoni, 2020, Ophthalmology.

An Objective Structural and Functional Reference Standard for Diagnostic Studies in Glaucoma

F. Medeiros, S. Berchuck, A. Jammal, 2020, medRxiv.

Human versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.

Susan M. Wakil, F. Medeiros, V. P. Costa, 2019, American journal of ophthalmology.

RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure pdf

Lawrence Carin, Shounak Datta, Eduardo B. Mariottoni, 2020, Scientific reports.

Longitudinal visual field variability and the ability to detect glaucoma progression in black and white individuals

Brian C. Stagg, F. Medeiros, Kensaku Kawamoto, 2021, British Journal of Ophthalmology.

Comparing the “Rule of 5” to Trend-based Analysis for Detecting Glaucoma Progression on Optical Coherence Tomography

Fábio B Daga, F. Medeiros, S. Berchuck, 2020 .

Deep Learning Assisted Detection of Glaucoma Progression in Spectral-Domain Optical Coherence Tomography.

Ricardo Henao, L. Carin, Shounak Datta, 2022, Ophthalmology. Glaucoma.

A review of deep learning in structure and function in glaucoma

F. Medeiros, V. P. Costa, E. B. Mariottoni, 2022, Modeling and Artificial Intelligence in Ophthalmology.

Artificial Intelligence Mapping of Structure to Function in Glaucoma

Felipe A. Medeiros, Lawrence Carin, Shounak Datta, 2020, Translational vision science & technology.

Blood Pressure and Glaucomatous Progression in a Large Clinical Population.

F. Medeiros, V. P. Costa, S. Berchuck, 2021, Ophthalmology.

Rates of Glaucomatous Structural and Functional Change from a Large Clinical Population: The Duke Glaucoma Registry Study.

F. Medeiros, S. Asrani, S. Berchuck, 2020, American journal of ophthalmology.

Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans.

Felipe A Medeiros, Samuel I Berchuck, F. Medeiros, 2020, JAMA ophthalmology.

Quantification of Retinal Nerve Fibre Layer Thickness on Optical Coherence Tomography with a Deep Learning Segmentation-Free Approach

F. Medeiros, S. Berchuck, A. Thompson, 2020, Scientific Reports.

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

Nara G. Ogata, F. Medeiros, V. P. Costa, 2019, Scientific Reports.

An objective structural and functional reference standard in glaucoma

F. Medeiros, S. Berchuck, A. Jammal, 2021, Scientific Reports.

Predicting glaucoma development with longitudinal deep learning predictions from fundus photographs.

Te-Won Lee, F. Medeiros, A. Jammal, 2021, American journal of ophthalmology.

Comparing the Rule of 5 to Trend-based Analysis for Detecting Glaucoma Progression on OCT.

Nara G. Ogata, Fábio B Daga, F. Medeiros, 2020, Ophthalmology. Glaucoma.

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

Nara G. Ogata, F. Medeiros, S. Berchuck, 2020, Journal of glaucoma.

Real-World Impact of Intraocular Pressure Control on Rates of Retinal Nerve Fiber Layer Loss in a Large Clinical Population.

Felipe A Medeiros, Samuel I Berchuck, F. Medeiros, 2020, Ophthalmology.

Comparison of Short- And Long-Term Variability On Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma.

Felipe A Medeiros, Nara G. Ogata, Samuel I Berchuck, 2019, American journal of ophthalmology.

Predicting Age From Optical Coherence Tomography Scans With Deep Learning

F. Medeiros, V. P. Costa, A. Thompson, 2021, Translational vision science & technology.

Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs

Susan M. Wakil, F. Medeiros, V. P. Costa, 2020, American Journal of Ophthalmology.

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

Felipe A. Medeiros, Nara G. Ogata, Eduardo B. Mariottoni, 2019, Scientific Reports.

RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure

Felipe A. Medeiros, Lawrence Carin, Shounak Datta, 2020, Scientific Reports.