Eduardo Mariottoni
Eduardo Mariottoni
Verified email at duke.edu
Title
Cited by
Cited by
Year
Human versus machine: comparing a deep learning algorithm to human gradings for detecting glaucoma on fundus photographs
AA Jammal, AC Thompson, EB Mariottoni, SI Berchuck, CN Urata, ...
American journal of ophthalmology 211, 123-131, 2020
262020
Assessment of a segmentation-free deep learning algorithm for diagnosing glaucoma from optical coherence tomography scans
AC Thompson, AA Jammal, SI Berchuck, EB Mariottoni, FA Medeiros
JAMA ophthalmology 138 (4), 333-339, 2020
192020
Artificial intelligence mapping of structure to function in glaucoma
EB Mariottoni, S Datta, D Dov, AA Jammal, SI Berchuck, IM Tavares, ...
Translational vision science & technology 9 (2), 19-19, 2020
132020
Quantification of retinal nerve fibre layer thickness on optical coherence tomography with a deep learning segmentation-free approach
EB Mariottoni, AA Jammal, CN Urata, SI Berchuck, AC Thompson, ...
Scientific reports 10 (1), 1-9, 2020
122020
Rates of glaucomatous structural and functional change from a large clinical population: the Duke Glaucoma Registry Study
AA Jammal, AC Thompson, EB Mariottoni, CN Urata, T Estrela, ...
American Journal of Ophthalmology 222, 238-247, 2021
102021
Detection of progressive glaucomatous optic nerve damage on fundus photographs with deep learning
FA Medeiros, AA Jammal, EB Mariottoni
Ophthalmology 128 (3), 383-392, 2021
72021
Comparison of short-and long-term variability in standard perimetry and spectral domain optical coherence tomography in glaucoma
CN Urata, EB Mariottoni, AA Jammal, NG Ogata, AC Thompson, ...
American journal of ophthalmology 210, 19-25, 2020
72020
Impact of intraocular pressure control on rates of retinal nerve fiber layer loss in a large clinical population
AA Jammal, AC Thompson, EB Mariottoni, T Estrela, LS Shigueoka, ...
Ophthalmology 128 (1), 48-57, 2021
62021
Detecting retinal nerve fibre layer segmentation errors on spectral domain-optical coherence tomography with a deep learning algorithm
AA Jammal, AC Thompson, NG Ogata, EB Mariottoni, CN Urata, VP Costa, ...
Scientific reports 9 (1), 1-9, 2019
62019
Predicting glaucoma development with longitudinal deep learning predictions from fundus photographs
T Lee, AA Jammal, EB Mariottoni, FA Medeiros
American Journal of Ophthalmology 225, 86-94, 2021
22021
Comparing the Rule of 5 to Trend-based Analysis for Detecting Glaucoma Progression on OCT
AC Thompson, AA Jammal, SI Berchuck, EB Mariottoni, Z Wu, FB Daga, ...
Ophthalmology Glaucoma 3 (6), 414-420, 2020
22020
Longitudinal visual field variability and the ability to detect glaucoma progression in black and white individuals
B Stagg, EB Mariottoni, S Berchuck, A Jammal, AR Elam, R Hess, ...
British Journal of Ophthalmology, 2021
12021
RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure
S Datta, EB Mariottoni, D Dov, AA Jammal, L Carin, FA Medeiros
Scientific Reports 11 (1), 1-10, 2021
2021
An objective structural and functional reference standard in glaucoma
EB Mariottoni, AA Jammal, SI Berchuck, LS Shigueoka, IM Tavares, ...
Scientific reports 11 (1), 1-10, 2021
2021
Predicting Age From Optical Coherence Tomography Scans With Deep Learning
LS Shigueoka, EB Mariottoni, AC Thompson, AA Jammal, VP Costa, ...
Translational Vision Science & Technology 10 (1), 12-12, 2021
2021
The Relationship Between Asymmetries of Corneal Properties and Rates of Visual Field Progression in Glaucoma Patients
T Estrela, AA Jammal, EB Mariottoni, CN Urata, NG Ogata, SI Berchuck, ...
Journal of Glaucoma 29 (10), 872-877, 2020
2020
Clustering Spectral-Domain Optical Coherence Tomography Images using a Deep Variational Auto-encoder
E Mariottoni, SI Berchuck, F Medeiros
Investigative Ophthalmology & Visual Science 61 (9), PB00145-PB00145, 2020
2020
A Deep Learning-Based Mapping of Structure to Function in Glaucoma
EB Mariottoni, S Datta, D Dov, AA Jammal, S Berchuck, I Tavares, L Carin, ...
Investigative Ophthalmology & Visual Science 61 (7), 3213-3213, 2020
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
T Estrela, EB Mariottoni, T Graciolli, N Chouchounova, N Ogata, ...
Investigative Ophthalmology & Visual Science 61 (7), 4539-4539, 2020
2020
The association between race and longitudinal visual field variability
B Stagg, E Mariottoni, S Berchuck, AA Jammal, R Hess, K Kawamoto, ...
Investigative Ophthalmology & Visual Science 61 (7), 4045-4045, 2020
2020
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