| 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 | 499 | 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 | 409 | 2016 |
| 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 | 143 | 2016 |
| Keratoconus severity identification using unsupervised machine learning S Yousefi, E Yousefi, H Takahashi, T Hayashi, H Tampo, S Inoda, Y Arai, ... PLoS One 13 (11), e0205998, 2018 | 104 | 2018 |
| Glaucoma progression detection using structural retinal nerve fiber layer measurements and functional visual field points S Yousefi, MH Goldbaum, M Balasubramanian, TP Jung, RN Weinreb, ... IEEE Transactions on Biomedical Engineering 61 (4), 1143-1154, 2013 | 103 | 2013 |
| Detection of longitudinal visual field progression in glaucoma using machine learning S Yousefi, T Kiwaki, Y Zheng, H Sugiura, R Asaoka, H Murata, H Lemij, ... American journal of ophthalmology 193, 71-79, 2018 | 100 | 2018 |
| A new auto-focus sharpness function for digital and smart-phone cameras S Yousefi, M Rahman, N Kehtarnavaz IEEE Transactions on Consumer Electronics 57 (3), 1003-1009, 2011 | 64 | 2011 |
| Learning from data: recognizing glaucomatous defect patterns and detecting progression from visual field measurements S Yousefi, MH Goldbaum, M Balasubramanian, FA Medeiros, LM Zangwill, ... IEEE Transactions on Biomedical Engineering 61 (7), 2112-2124, 2014 | 61 | 2014 |
| Evaluating similarity measures for brain image registration QR Razlighi, N Kehtarnavaz, S Yousefi Journal of visual communication and image representation 24 (7), 977-987, 2013 | 60 | 2013 |
| Unsupervised Gaussian mixture-model with expectation maximization for detecting glaucomatous progression in standard automated perimetry visual fields S Yousefi, M Balasubramanian, MH Goldbaum, FA Medeiros, LM Zangwill, ... Translational vision science & technology 5 (3), 2-2, 2016 | 49 | 2016 |
| Predicting glaucoma before onset using deep learning A Thakur, M Goldbaum, S Yousefi Ophthalmology Glaucoma 3 (4), 262-268, 2020 | 46 | 2020 |
| Glaucomatous patterns in Frequency Doubling Technology (FDT) perimetry data identified by unsupervised machine learning classifiers C Bowd, RN Weinreb, M Balasubramanian, I Lee, G Jang, S Yousefi, ... PloS one 9 (1), e85941, 2014 | 45 | 2014 |
| Asymmetric patterns of visual field defect in primary open-angle and primary angle-closure glaucoma S Yousefi, H Sakai, H Murata, Y Fujino, D Garway-Heath, R Weinreb, ... Investigative Ophthalmology & Visual Science 59 (3), 1279-1287, 2018 | 39 | 2018 |
| Predicting the likelihood of need for future keratoplasty intervention using artificial intelligence S Yousefi, H Takahashi, T Hayashi, H Tampo, S Inoda, Y Arai, H Tabuchi, ... The ocular surface 18 (2), 320-325, 2020 | 37 | 2020 |
| Improved labeling of subcortical brain structures in atlas-based segmentation of magnetic resonance images S Yousefi, N Kehtarnavaz, A Gholipour IEEE Transactions on Biomedical Engineering 59 (7), 1808-1817, 2011 | 34 | 2011 |
| Automated glaucoma diagnosis using deep and transfer learning: Proposal of a system for clinical testing M Norouzifard, A Nemati, H GholamHosseini, R Klette, K Nouri-Mahdavi, ... 2018 International Conference on Image and Vision Computing New Zealand …, 2018 | 33 | 2018 |
| Recognizing patterns of visual field loss using unsupervised machine learning S Yousefi, MH Goldbaum, LM Zangwill, FA Medeiros, C Bowd Medical Imaging 2014: Image Processing 9034, 664-673, 2014 | 30 | 2014 |
| Prediction of visual field progression from OCT structural measures in moderate to advanced glaucoma K Nouri-Mahdavi, V Mohammadzadeh, A Rabiolo, K Edalati, J Caprioli, ... American journal of ophthalmology 226, 172-181, 2021 | 28 | 2021 |
| Detecting keratoconus from corneal imaging data using machine learning A Lavric, V Popa, H Takahashi, S Yousefi IEEE Access 8, 149113-149121, 2020 | 28 | 2020 |
| Estimating glaucomatous visual sensitivity from retinal thickness with pattern-based regularization and visualization H Sugiura, T Kiwaki, S Yousefi, H Murata, R Asaoka, K Yamanishi Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 23 | 2018 |
Robert WeinrebUniversity of California, San DiegoVerified email at ucsd.edu
