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ARVO Annual Meeting Abstract September 2016

Early detection of visual field conversion using an unsupervised machine-learning analysis of retinal nerve fiber layer thickness measurements

Siamak Yousefi; Michael Henry Goldbaum; Ehsan Shahrian Varnousfaderani; Linda M Zangwill; Felipe A Medeiros; Robert N Weinreb; Christopher A Girkin; Jeffrey M Liebmann; Christopher Bowd

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12) doi:

ARVO Annual Meeting Abstract September 2016

Diabetic retinopathy detection from image to classification using deep convolutional neural network

Ehsan Shahrian Varnousfaderani; Akram Belghith; Siamak Yousefi; Jameson Merkow; Tu Zhuowen; Christopher Bowd; Linda M Zangwill; Michael Henry Goldbaum

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):5961. doi:

ARVO Annual Meeting Abstract June 2015

Unsupervised machine learning to recognize glaucoma defect patterns and detect progression in RNFL thickness measurements

Siamak Yousefi; Michael Henry Goldbaum; Ehsan Varnousfaderani Shahrian; Linda M Zangwill; Robert N Weinreb; Felipe A Medeiros; Christopher A Girkin; Jeffrey M Liebmann; Christopher Bowd

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):4564. doi:

ARVO Annual Meeting Abstract June 2015

Vessels segmentation in color retinal images using ensemble of bagged decision trees and patched based principle component analysis and linear discriminant analysis

Ehsan Varnousfaderani Shahrian; Siamak Yousefi; Arash Mozayan Isfahani; Hema Lakshmi Ramkumar; Joseph T Nezgoda; Christopher Bowd; Felipe A Medeiros; Linda M Zangwill; Robert N Weinreb; Michael Henry Goldbaum

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):5262. doi:

ARVO Annual Meeting Abstract April 2014

Quantitative evaluation of Spectralis optical coherence tomography image quality with systematic variation of B-scan averaging before and after cataract surgery

Dominika Podkowinski; Sebastian M Waldstein; Ehsan Shahrian Varnousfaderani; Christian Simader; Bianca Gerendas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):4804. doi:

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