Search | TVST | ARVO Journals

Showing 1 – 20 of 23

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Annual Meeting Abstract June 2020

Understanding Deep Learning Decision for Glaucoma Detection using 3D Volumes

Yasmeen Mourice George; Bhavna J. Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Rahil Garnavi

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2022. doi:

ARVO Annual Meeting Abstract June 2020

Deep learning network for Glaucoma detection at 40 million voxels

Bhavna Josephine Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Rahil Garnavi

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4528. doi:

ARVO Annual Meeting Abstract June 2020

Estimating visual field progression rates of glaucoma patients using estimates derived from OCT scans

Hsin-Hao Yu; Bhavna Josephine Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Rahil Garnavi

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):875. doi:

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:

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:

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:

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:

Retina November 2018

The Henle Fiber Layer in Albinism: Comparison to Normal and Relationship to Outer Nuclear Layer Thickness and Foveal Cone Density

PDF

Daniel J. Lee; Erica N. Woertz; Alexis Visotcky; Melissa A. Wilk; Heather Heitkotter; Rachel E. Linderman; Sergey Tarima; C. Gail Summers; Brian P. Brooks; Murray H. Brilliant; Bhavna J. Antony; Brandon J. Lujan; Joseph Carroll
TAGS: albinism, retinal cone
Invest. Ophthalmol. Vis. Sci.. 2018; 59(13):5336-5348. doi: https://doi.org/10.1167/iovs.18-24145

Includes: Multimedia, Supplemental Content

ARVO Annual Meeting Abstract July 2018

Correlating Foveal Pit Morphology To Outer Nuclear and Henle Fiber Layer Topography

Daniel Lee; Melissa A Wilk; Brandon J Lujan; Bhavna J Antony; Joseph Carroll

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1526. doi:

ARVO Annual Meeting Abstract July 2018

Deep-learning Framework for Summarization of OCT Volumes

Bhavna J Antony; Stefan Maetschke; Rahil Garnavi

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1226. doi:

ARVO Annual Meeting Abstract June 2017

Assessing the Henle Fiber Layer in Albinism Using Directional OCT

Daniel J Lee; Melissa A Wilk; Brandon J Lujan; Bhavna J Antony; Joseph Carroll

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5996. doi:

ARVO Annual Meeting Abstract June 2017

Neuroprotective effects of the protein kinase inhibitors, SBJ-051 and sunitinib in light-induced photoreceptor cell death

Byung-Jin Kim; Tomohiro Masuda; Bhavna J Antony; Derek Stuart Welsbie; Melissa Liu; Reji Nair; Thomas D Bannister; Jerry L Prince; Timothy P Spicer; Donald J Zack

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5889. doi:

ARVO Annual Meeting Abstract September 2016

Altered Photoreceptor Bands Surrounding Areas of Loss in MacTel Cause En Face OCT Endpoint Variability

Brandon J Lujan; Emily Y Chew; Jacque L Duncan; Bhavna J Antony; Vikram Makhijani; Austin Roorda

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):4250. doi:

ARVO Annual Meeting Abstract September 2016

Characterization of Retinal Layer Thickness Changes Using Volumetric SD-OCT Images in a Multiple Sclerosis Mouse Model

Bhavna J Antony; Byung-Jin Kim; Donald J Zack; Peter A. Calabresi; Jerry L. Prince

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):2199. doi:

Articles July 2015

Characterizing the Impact of Off-Axis Scan Acquisition on the Reproducibility of Total Retinal Thickness Measurements in SDOCT Volumes

PDF

Bhavna J. Antony; Paul F. Stetson; Michael D. Abramoff; Kyungmoo Lee; Johanna M. Colijn; Gabriëlle H. S. Buitendijk; Caroline C. W. Klaver; Austin Roorda; Brandon J. Lujan
TAGS: bruch's basal membrane, pupil, incidence
Trans. Vis. Sci. Tech.. 2015; 4(4):3. doi: https://doi.org/10.1167/tvst.4.4.3

Articles October 2014

Automated 3D Segmentation of Intraretinal Surfaces in SD-OCT Volumes in Normal and Diabetic Mice

PDF

Bhavna J. Antony; Woojin Jeong; Michael D. Abràmoff; Joseph Vance; Elliott H. Sohn; Mona K. Garvin
TAGS: diabetes mellitus, mice, retina
Trans. Vis. Sci. Tech.. 2014; 3(5):8. doi: https://doi.org/10.1167/tvst.3.5.8

Includes: Supplemental Content

ARVO Annual Meeting Abstract April 2014

Machine-Learning-Based Retinal Vessel Segmentation in Spectral-Domain Optical Coherence Tomography Volumes of Mice

Mona K Garvin; Wenxiang Deng; Bhavna Josephine Antony; Elliott H Sohn; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):2091. doi:

ARVO Annual Meeting Abstract April 2014

Retinal thinning in mice with streptozotocin-induced diabetes mellitus

Murat Kucukevcilioglu; Woo-Jin Jeong; Kyung Moo Lee; Mona K Garvin; Chunhua Jiao; Allison Garmager; Bhavna Josephine Antony; Michael David Abramoff; Elliott H Sohn

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):2257. doi:

ARVO Annual Meeting Abstract April 2014

Automated Thickness Correction Model for Tilted SDOCT Volumes

Bhavna Josephine Antony; Austin Roorda; Paul F Stetson; Brandon J Lujan

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):4791. doi:

ARVO Annual Meeting Abstract April 2014

Use of a GPU-Based k-NN Implementation Can Provide Substantial Speedup for Classification of Retinal Imaging Data

Wenxiang Deng; Qiao Hu; Mohammad Saleh Miri; Bhavna Josephine Antony; Michael David Abramoff; Mona K Garvin

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):4835. doi:

1 2

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Filters

Specify Date Range

Understanding Deep Learning Decision for Glaucoma Detection using 3D Volumes

Deep learning network for Glaucoma detection at 40 million voxels

Estimating visual field progression rates of glaucoma patients using estimates derived from OCT scans

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

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

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

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

The Henle Fiber Layer in Albinism: Comparison to Normal and Relationship to Outer Nuclear Layer Thickness and Foveal Cone Density

Correlating Foveal Pit Morphology To Outer Nuclear and Henle Fiber Layer Topography

Deep-learning Framework for Summarization of OCT Volumes

Assessing the Henle Fiber Layer in Albinism Using Directional OCT

Neuroprotective effects of the protein kinase inhibitors, SBJ-051 and sunitinib in light-induced photoreceptor cell death

Altered Photoreceptor Bands Surrounding Areas of Loss in MacTel Cause En Face OCT Endpoint Variability

Characterization of Retinal Layer Thickness Changes Using Volumetric SD-OCT Images in a Multiple Sclerosis Mouse Model

Characterizing the Impact of Off-Axis Scan Acquisition on the Reproducibility of Total Retinal Thickness Measurements in SDOCT Volumes

Automated 3D Segmentation of Intraretinal Surfaces in SD-OCT Volumes in Normal and Diabetic Mice

Machine-Learning-Based Retinal Vessel Segmentation in Spectral-Domain Optical Coherence Tomography Volumes of Mice

Retinal thinning in mice with streptozotocin-induced diabetes mellitus

Automated Thickness Correction Model for Tilted SDOCT Volumes

Use of a GPU-Based k-NN Implementation Can Provide Substantial Speedup for Classification of Retinal Imaging Data

To View More...

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