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Meeting Abstract (8)
Journal Articles (2)

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Investigative Ophthalmology & Visual Science (9)
Translational Vision Science & Technology (1)

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ARVO Annual Meeting Abstract (7)
ARVO Imaging in the Eye Conference Abstract (1)
Retina (1)
Special Issue (1)

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Eye Anatomy and Disorders (2)
Glaucoma (1)
Imaging (1)
Multidisciplinary Ophthalmic Imaging (1)
Retina (1)
Translational Research (1)

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deep learning (2)
datasets (1)
eye (1)
glaucoma (1)
pilot projects (1)

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ARVO Annual Meeting Abstract June 2021

Utilisation of Machine Learning to quantify fluid volume of wet age-related macular degeneration (wARMD) patients based on swept-source optical coherence tomography (SS-OCT) imaging: The ONTARIO Study

Simrat Kaur Sodhi; Jonathan D. Oakley; Daniel B. Russakoff; Netan Choudhry

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2150. doi:

Special Issue February 2020

A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans

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Daniel B. Russakoff; Suria S. Mannil; Jonathan D. Oakley; An Ran Ran; Carol Y. Cheung; Srilakshmi Dasari; Mohammed Riyazzuddin; Sriharsha Nagaraj; Harsha L. Rao; Dolly Chang; Robert T. Chang
TAGS: datasets, deep learning, glaucoma, eye
Trans. Vis. Sci. Tech.. 2020; 9(2):12. doi: https://doi.org/10.1167/tvst.9.2.12

ARVO Imaging in the Eye Conference Abstract August 2019

Automated choroid segmentation of SD-OCT volumes using deep learning

Jonathan D Oakley; Daniel B Russakoff

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB0109. doi:

ARVO Annual Meeting Abstract July 2019

Novel deep learning based algorithm for Macula and Optic Nerve Head segmentation versus Cirrus Optical Coherence Tomography in identifying glaucoma

Suria Sudhakaran Mannil; Jonathan D Oakley; Daniel B Russakoff; Robert Chang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5558. doi:

ARVO Annual Meeting Abstract July 2019

Diagnostic Assessment of RNFL Segmentation using a Hybrid Deep Learning Approach

Jonathan D Oakley; Suria S Mannil; Daniel B Russakoff; Robert Chang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5599. doi:

ARVO Annual Meeting Abstract July 2019

A 3D Deep Learning System for Detecting Referrable Glaucoma Using Full OCT Macular Cube Scans

Daniel B Russakoff; Suria S Mannil; Jonathan D Oakley; Robert Chang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1474. doi:

Retina February 2019

Deep Learning for Prediction of AMD Progression: A Pilot Study

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Daniel B. Russakoff; Ali Lamin; Jonathan D. Oakley; Adam M. Dubis; Sobha Sivaprasad
TAGS: deep learning, pilot projects
Invest. Ophthalmol. Vis. Sci.. 2019; 60(2):712-722. doi: https://doi.org/10.1167/iovs.18-25325

ARVO Annual Meeting Abstract July 2018

Deep learning for prediction of AMD progression

Daniel B Russakoff; Ali Lamin; Jonathan D Oakley; Adam M Dubis; Susan Lightman; Sobha Sivaprasad

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1717. doi:

ARVO Annual Meeting Abstract July 2018

Automated Analysis of In Vivo Confocal Microscopy Corneal Images Using Deep Learning

Jonathan D Oakley; Daniel B Russakoff; Rachel Weinberg; Megan McCarron; Samuel Brill; Stuti Misra; Charles N McGhee; Joseph Mankowski

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1799. doi:

ARVO Annual Meeting Abstract June 2017

Deep convolutional neural networks for automated OCT pathology recognition

Daniel B Russakoff; Jonathan D Oakley; Robert Chang

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):668. doi:

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Online ISSN: 2164-2591

Investigative Ophthalmology & Visual Science
Journal of Vision
Translational Vision Science & Technology

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Copyright © 2015 Association for Research in Vision and Ophthalmology.

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