| Optical coherence tomography angiography vessel density in healthy, glaucoma suspect, and glaucoma eyes A Yarmohammadi, LM Zangwill, A Diniz-Filho, MH Suh, PI Manalastas, ... Investigative ophthalmology & visual science 57 (9), OCT451-OCT459, 2016 | 511 | 2016 |
| Relationship between optical coherence tomography angiography vessel density and severity of visual field loss in glaucoma A Yarmohammadi, LM Zangwill, A Diniz-Filho, MH Suh, S Yousefi, ... Ophthalmology 123 (12), 2498-2508, 2016 | 418 | 2016 |
| Performance of deep learning architectures and transfer learning for detecting glaucomatous optic neuropathy in fundus photographs M Christopher, A Belghith, C Bowd, JA Proudfoot, MH Goldbaum, ... Scientific reports 8 (1), 16685, 2018 | 286 | 2018 |
| Deep retinal layer microvasculature dropout detected by the optical coherence tomography angiography in glaucoma MH Suh, LM Zangwill, PIC Manalastas, A Belghith, A Yarmohammadi, ... Ophthalmology 123 (12), 2509-2518, 2016 | 215 | 2016 |
| Estimating optical coherence tomography structural measurement floors to improve detection of progression in advanced glaucoma C Bowd, LM Zangwill, RN Weinreb, FA Medeiros, A Belghith American journal of ophthalmology 175, 37-44, 2017 | 200 | 2017 |
| Optical coherence tomography angiography vessel density in glaucomatous eyes with focal lamina cribrosa defects MH Suh, LM Zangwill, PIC Manalastas, A Belghith, A Yarmohammadi, ... Ophthalmology 123 (11), 2309-2317, 2016 | 146 | 2016 |
| Deep learning approaches predict glaucomatous visual field damage from OCT optic nerve head en face images and retinal nerve fiber layer thickness maps M Christopher, C Bowd, A Belghith, MH Goldbaum, RN Weinreb, ... Ophthalmology 127 (3), 346-356, 2020 | 124 | 2020 |
| Reproducibility of optical coherence tomography angiography macular and optic nerve head vascular density in glaucoma and healthy eyes PIC Manalastas, LM Zangwill, LJ Saunders, K Mansouri, A Belghith, ... Journal of glaucoma 26 (10), 851-859, 2017 | 121 | 2017 |
| Retinal nerve fiber layer features identified by unsupervised machine learning on optical coherence tomography scans predict glaucoma progression M Christopher, A Belghith, RN Weinreb, C Bowd, MH Goldbaum, ... Investigative ophthalmology & visual science 59 (7), 2748-2756, 2018 | 120 | 2018 |
| Comparing the rates of retinal nerve fiber layer and ganglion cell–inner plexiform layer loss in healthy eyes and in glaucoma eyes N Hammel, A Belghith, RN Weinreb, FA Medeiros, N Mendoza, ... American journal of ophthalmology 178, 38-50, 2017 | 120 | 2017 |
| Structural change can be detected in advanced-glaucoma eyes A Belghith, FA Medeiros, C Bowd, JM Liebmann, CA Girkin, RN Weinreb, ... Investigative ophthalmology & visual science 57 (9), OCT511-OCT518, 2016 | 97 | 2016 |
| Does the location of Bruch's membrane opening change over time? Longitudinal analysis using San Diego Automated Layer Segmentation Algorithm (SALSA) A Belghith, C Bowd, FA Medeiros, N Hammel, Z Yang, RN Weinreb, ... Investigative ophthalmology & visual science 57 (2), 675-682, 2016 | 52 | 2016 |
| Effects of study population, labeling and training on glaucoma detection using deep learning algorithms M Christopher, K Nakahara, C Bowd, JA Proudfoot, A Belghith, ... Translational vision science & technology 9 (2), 27-27, 2020 | 39 | 2020 |
| 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 | 36 | 2023 |
| Automated circumferential construction of first-order aqueous humor outflow pathways using spectral-domain optical coherence tomography AS Huang, A Belghith, A Dastiridou, V Chopra, LM Zangwill, RN Weinreb Journal of biomedical optics 22 (6), 066010-066010, 2017 | 35 | 2017 |
| Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression A Belghith, C Bowd, FA Medeiros, M Balasubramanian, RN Weinreb, ... Artificial intelligence in medicine 64 (2), 105-115, 2015 | 34 | 2015 |
| Deep learning image analysis of optical coherence tomography angiography measured vessel density improves classification of healthy and glaucoma eyes C Bowd, A Belghith, LM Zangwill, M Christopher, MH Goldbaum, R Fan, ... American journal of ophthalmology 236, 298-308, 2022 | 33 | 2022 |
| Deep-layer microvasculature dropout by optical coherence tomography angiography and microstructure of parapapillary atrophy MH Suh, LM Zangwill, PIC Manalastas, A Belghith, A Yarmohammadi, ... Investigative ophthalmology & visual science 59 (5), 1996-2005, 2018 | 33 | 2018 |
| Gradient-boosting classifiers combining vessel density and tissue thickness measurements for classifying early to moderate glaucoma C Bowd, A Belghith, JA Proudfoot, LM Zangwill, M Christopher, ... American Journal of Ophthalmology 217, 131-139, 2020 | 31 | 2020 |
| A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and … A Belghith, C Bowd, RN Weinreb, LM Zangwill 2014 36th annual international conference of the IEEE engineering in …, 2014 | 31 | 2014 |
Linda ZangwillUniversity of California, San DiegoVerified email at ucsd.edu
