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Siamak Yousefi
Siamak Yousefi
University of Tennessee Health Science Center
Verified email at uthsc.edu - Homepage
Title
Cited by
Cited by
Year
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
5092016
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
4172016
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
1442016
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
1092013
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
1082018
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
1052018
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
642011
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
612014
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
602013
Predicting glaucoma before onset using deep learning
A Thakur, M Goldbaum, S Yousefi
Ophthalmology Glaucoma 3 (4), 262-268, 2020
542020
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
522016
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
452014
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
412018
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
382020
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
352011
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
342018
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
302021
Detecting keratoconus from corneal imaging data using machine learning
A Lavric, V Popa, H Takahashi, S Yousefi
IEEE Access 8, 149113-149121, 2020
302020
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
302014
An artificial intelligence approach to assess spatial patterns of retinal nerve fiber layer thickness maps in glaucoma
M Wang, LQ Shen, LR Pasquale, H Wang, D Li, EY Choi, S Yousefi, ...
Translational vision science & technology 9 (9), 41-41, 2020
232020
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