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Nicole Brye
Nicole Brye
Undergraduate Data Science Student at the University of California San Diego
Verified email at ucsd.edu
Title
Cited by
Cited by
Year
Detecting glaucoma from fundus photographs using deep learning without convolutions: transformer for improved generalization
R Fan, K Alipour, C Bowd, M Christopher, N Brye, JA Proudfoot, ...
Ophthalmology science 3 (1), 100233, 2023
382023
Detecting glaucoma in the ocular hypertension study using deep learning
R Fan, C Bowd, M Christopher, N Brye, JA Proudfoot, J Rezapour, ...
JAMA ophthalmology 140 (4), 383-391, 2022
182022
Effect of testing frequency on the time to detect glaucoma progression with optical coherence tomography (OCT) and OCT angiography
G Mahmoudinezhad, S Moghimi, JA Proudfoot, N Brye, T Nishida, ...
American Journal of Ophthalmology 245, 184-192, 2023
82023
Comparison of the effects of latanoprostene bunod and timolol on retinal blood vessel density: a randomized clinical trial
NW El-Nimri, S Moghimi, RC Penteado, E Ghahari, D Yang, N Brye, ...
American journal of ophthalmology 241, 120-129, 2022
72022
Comparison of optic disc ovality index and rotation angle measurements in myopic eyes using photography and OCT based techniques
J Rezapour, AQ Tran, C Bowd, NW El-Nimri, A Belghith, M Christopher, ...
Frontiers in Medicine 9, 872658, 2022
52022
One-vote veto: Semi-supervised learning for low-shot glaucoma diagnosis
R Fan, C Bowd, N Brye, M Christopher, RN Weinreb, DJ Kriegman, ...
IEEE Transactions on Medical Imaging, 2023
42023
Deep learning predicts demographic and clinical characteristics from optic nerve head OCT circle and radial scans
LA Mendoza, M Christopher, N Brye, JA Proudfoot, A Belghith, C Bowd, ...
Investigative Ophthalmology & Visual Science 62 (8), 2120-2120, 2021
42021
Detecting Glaucoma in the Ocular Hypertension Treatment Study using deep learning: implications for clinical trial endpoints
R Fan, C Bowd, M Christopher, N Brye, JA Proudfoot, J Rezapour, ...
Authorea Preprints, 2023
32023
A deep learning model to assess fundus photograph image quality and improve predictive value of deep learning models of glaucoma detection.
B Chuter, M Christopher, R Fan, A Belghith, C Bowd, N Brye, JA Proudfoot, ...
Investigative Ophthalmology & Visual Science 62 (8), 1016-1016, 2021
32021
Time to glaucoma progression detection by optical coherence tomography in individuals of African and European descents
JH Wu, S Moghimi, E Walker, T Nishida, N Brye, G Mahmoudinezhad, ...
American Journal of Ophthalmology 260, 60-69, 2024
12024
Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection
B Chuter, J Huynh, C Bowd, E Walker, J Rezapour, N Brye, A Belghith, ...
Translational Vision Science & Technology 13 (1), 23-23, 2024
12024
Primary open-angle glaucoma detection with vision transformer: Improved generalization across independent fundus photograph datasets
C Bowd, R Fan, K Alipour, M Christopher, N Brye, JA Proudfoot, ...
Investigative Ophthalmology & Visual Science 63 (7), 2295-2295, 2022
12022
Deep learning for detecting glaucoma in the Ocular Hypertension Treatment Study: Implications for clinical trial endpoints
R Fan, C Bowd, M Christopher, N Brye, JA Proudfoot, J Rezapour, ...
Investigative Ophthalmology & Visual Science 62 (8), 1006-1006, 2021
12021
Performance of Deep Learning Models to Detect Glaucoma Using Unsegmented Radial and Circle OCT Scans of the Optic Nerve Head
M Christopher, C Bowd, JA Proudfoot, N Brye, A Belghith, MH Goldbaum, ...
Investigative Ophthalmology & Visual Science 62 (8), 1014-1014, 2021
2021
One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma
R Fan, C Bowd, N Brye, M Christopher, RN Weinreb, D Kriegman, ...
CoRR, 2020
2020
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