Search | IOVS | ARVO Journals

Showing 1 – 20 of 395

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

Multidisciplinary Ophthalmic Imaging February 2020

In Vivo Imaging of Schlemm's Canal and Limbal Vascular Network in Mouse Using Visible-Light OCT

PDF

Xian Zhang; Lisa Beckmann; David A. Miller; Guangbin Shao; Zhen Cai; Cheng Sun; Nader Sheibani; Xiaorong Liu; Joel Schuman; Mark Johnson; Tsutomu Kume; Hao F. Zhang
TAGS: diagnostic imaging, eye, intraocular pressure, mice, schlemm's canal, vaccine information sheets, vasculature, visible light, gastroesophageal reflux disease
Invest. Ophthalmol. Vis. Sci.. 2020; 61(2):23. doi: https://doi.org/10.1167/iovs.61.2.23

Includes: Multimedia, Supplemental Content

ARVO Imaging in the Eye Conference Abstract August 2019

Preferred OCTA Scanning Protocol for Glaucoma Discrimination

Ravneet Singh Rai; Katie Lucy; Nathaniel Tracer; Mengfei Wu; Maria de los Angeles Ramos Cadena; Aushim Kokroo; Siddarth Rathi; Assumpta Madu; Jesus Jiménez-Román; Gabriel Lazcano-Gómez; Joong Wong Shin; Sung Kyung Rim; Hiroshi Ishikawa; Joel S Schuman; Gadi Wollstein

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB051. doi: https://doi.org/

ARVO Imaging in the Eye Conference Abstract August 2019

Reproducibility of Lamina Cribrosa Microstructure Measurements in Varying Intraocular and Intracranial Pressure Settings

Katie Lucy; Ravneet Singh Rai; Yoav Glidai; Mengfei Wu; Bo Wang; Ian A Sigal; Matthew Smith; Hiroshi Ishikawa; Joel S Schuman; Gadi Wollstein

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB0180. doi: https://doi.org/

ARVO Imaging in the Eye Conference Abstract August 2019

Variables Affecting Ocular Vessel Density Measurements

Maria de los Angeles Ramos Cadena; Gadi Wollstein; Joel S Schuman; Katie Lucy; Mengfei Wu; Mengling Liu; Ravneet Singh Rai; Jesus Jiménez-Román; Gabriel Lazcano-Gómez; Mariana Hernández-Monroy; Joong Wong Shin; Sung Kyung Rim; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB056. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Feature agnostic networks outperform classical machine learning approaches in the detection of glaucoma in OCT volumes

Bhavna Josephine Antony; Stefan Maetschke; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Simon Wail

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2206. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Deformation Analysis of 3D Optic Cup Surface in Healthy and Glaucoma Patients

Hidemasa Muta; Bhavna Antony; Kerry Halupka; Suman Sedai; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1273. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Forecasting Visual Field parameters at the Future visits using machine learning regression

Suman Sedai; Bhavna Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1465. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Deep Learning Based Features Improves Forecasting OCT Measurements at the Future Visit

Hiroshi Ishikawa; Suman Sedai; Bhavna Antony; Gadi Wollstein; Joel S Schuman; Simon Wail

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1466. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Utilizing a J48 Decision Tree to identify Patients at risk for Angle Closure Glaucoma.

Soshian Sarrafpour; Bing Chiu; Hardik Parikh; Maria De Los Angeles Ramos Cadena; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Joshua A Young

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1984. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Inference of visual field test results from OCT volumes using deep learning.

Stefan Maetschke; Bhavna Josephine Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Simon Wail

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1487. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Speckle Noise Reduction in Visible-Light OCT

Jenna Tauber; Roman Kuranov; Ian Rubinoff; Yuanbo Wang; Zeinab Ghassabi; Katie Lucy; Hao F Zhang; Gadi Wollstein; Joel S Schuman; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):144. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Estimating visual field functions in glaucoma patients using multi-regional neural networks on OCT images

Hsin-Hao Yu; Stefan Maetschke; Bhavna Josephine Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Simon Wail

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1462. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Widespread Structural and Functional Brain Connectivity Changes and Associations with Balance in Glaucoma

Ji Won Bang; Vivek Trivedi; Carlos Parra; Max Colbert; Caitlin O'Connel; Muneeb A. Faiq; Ian Conner; Mark Redfern; Gadi Wollstein; Joel S Schuman; Rakie Cham; Kevin C Chan

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3925. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Intra- and Inter-Subject Variability of Retinal Oximetry on Healthy Eyes Using Visible-Light OCT

Zeinab Ghassabi; Katie Lucy; Mengfei Wu; Gadi Wollstein; Joel S Schuman; Brian Soetinko; Yuanbo Wang; Roman Kuranov; Hao F Zhang; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1287. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Investigation of the Effect of Laser, Non-Laser Surgery and Medication on 1-Year Intraocular Pressure Reduction using Weighted Regression by Propensity Score

Mengfei Wu; Mengling Liu; Katie Lucy; Hiroshi Ishikawa; Joel S Schuman; Gadi Wollstein

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1985. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Translaminar Pressure Effect on the Lamina Cribrosa of Non-Human Primate Eyes as a Function of Depth

Katie Lucy; Bo Wang; Hiroshi Ishikawa; Joel S Schuman; Mengfei Wu; Ian A Sigal; Matthew A Smith; Gadi Wollstein

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2248. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Identifying Clinically Useful Markers in Glaucoma Suspects and Primary Open Angle Glaucoma Patients Using a Machine Learning J48 Decision Tree

Hardik A Parikh; Soshian Sarrafpour; Bing Chiu; Akash Gupta; Maria de los Angeles Ramos Cadena; Hiroshi Ishikawa; Gadi Wollstein; Joel Schuman; Joshua A Young

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1467. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

“One-size fits all” OCT image enhancement via deep learning

Kerry Jayne Halupka; Hiroshi Ishikawa; Matthew Lee; Gadi Wollstein; Joel Schuman; Simon Wail; Bhavna Josephine Antony

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1513. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Peripapillary Vessel Density as a Glaucoma Biomarker throughout the Glaucoma Severity Spectrum

Ravneet Singh Rai; Katie Lucy; Nathaniel Tracer; Mengfei Wu; Mengling Liu; Maria de los Angeles Ramos Cadena; Siddarth Rathi; Assumpta Madu; Hiroshi Ishikawa; Joel Schuman; Gadi Wollstein

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3042. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Enhanced imaging of the outer retina layers using speckle-reduced visible-light optical coherence tomography

Roman V. Kuranov; Ian Rubinoff; Yuanbo Wang; Lisa Beckmann; Xian Zhang; Amani A Fawzi; Hiroshi Ishikawa; Joel Schuman; Hao F Zhang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1297. doi: https://doi.org/

1 2 3 4 5

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Filters

Specify Date Range

In Vivo Imaging of Schlemm's Canal and Limbal Vascular Network in Mouse Using Visible-Light OCT

Preferred OCTA Scanning Protocol for Glaucoma Discrimination

Reproducibility of Lamina Cribrosa Microstructure Measurements in Varying Intraocular and Intracranial Pressure Settings

Variables Affecting Ocular Vessel Density Measurements

Feature agnostic networks outperform classical machine learning approaches in the detection of glaucoma in OCT volumes

Deformation Analysis of 3D Optic Cup Surface in Healthy and Glaucoma Patients

Forecasting Visual Field parameters at the Future visits using machine learning regression

Deep Learning Based Features Improves Forecasting OCT Measurements at the Future Visit

Utilizing a J48 Decision Tree to identify Patients at risk for Angle Closure Glaucoma.

Inference of visual field test results from OCT volumes using deep learning.

Speckle Noise Reduction in Visible-Light OCT

Estimating visual field functions in glaucoma patients using multi-regional neural networks on OCT images

Widespread Structural and Functional Brain Connectivity Changes and Associations with Balance in Glaucoma

Intra- and Inter-Subject Variability of Retinal Oximetry on Healthy Eyes Using Visible-Light OCT

Investigation of the Effect of Laser, Non-Laser Surgery and Medication on 1-Year Intraocular Pressure Reduction using Weighted Regression by Propensity Score

Translaminar Pressure Effect on the Lamina Cribrosa of Non-Human Primate Eyes as a Function of Depth

Identifying Clinically Useful Markers in Glaucoma Suspects and Primary Open Angle Glaucoma Patients Using a Machine Learning J48 Decision Tree

“One-size fits all” OCT image enhancement via deep learning

Peripapillary Vessel Density as a Glaucoma Biomarker throughout the Glaucoma Severity Spectrum

Enhanced imaging of the outer retina layers using speckle-reduced visible-light optical coherence tomography

To View More...

You must be signed into an individual account to use this feature.