Search | IOVS | ARVO Journals

iovs

Issues
Topics
For Authors
About
- Editorial Board

Journals Home

MANAGE ALERTS

Forgot password?

Create an Account

To View More...

Purchase this article with an account.

or

Subscribe Now

Issues
Topics
For Authors
About
- Editorial Board

Narrow View

NARROW

Content Type

Meeting Abstract (13)
Journal Articles (1)

Journal

Investigative Ophthalmology & Visual Science (14)

Article Type

ARVO Annual Meeting Abstract (9)
ARVO Imaging in the Eye Conference Abstract (4)
Retina (1)

Topics

Eye Anatomy and Disorders (1)
Imaging (1)
Multidisciplinary Ophthalmic Imaging (1)
Retina (1)

Tags

color (1)
datasets (1)
deep learning (1)
diabetes mellitus (1)
diabetic macular edema (1)
fundus photography (1)

Specify Date Range

From: To: Apply

Showing 1 – 14 of 14

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Annual Meeting Abstract June 2022

Deep learning (DL) to segment retinal layer disruption on optical coherence tomography (OCT) in neovascular age-related macular degeneration (nAMD)

Yun Li; Huanxiang Lu; Thomas Albrecht; Andreas Maunz; Ales Neubert; Fethallah Benmansour; Alvaro Gomariz; Jennifer Luu; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2079 – F0068. doi:

ARVO Annual Meeting Abstract June 2022

Machine learning approaches to automated prediction of fibrosis development in neovascular age-related macular degeneration using optical coherence tomography images

Andreas Maunz; Ian Lloyd Jones; Jules Hernandez-Sanchez; Beatriz Garcia Armendariz; Laura Barras; Siqing Yu

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2052 – F0041. doi:

ARVO Annual Meeting Abstract June 2022

A unified deep learning approach for OCT segmentation from different devices and retinal diseases

Alvaro Gomariz; Huanxiang Lu; Yun Li; Thomas Albrecht; Andreas Maunz; Fethallah Benmansour; Jennifer Luu; Orcun Goksel; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2053 – F0042. doi:

ARVO Annual Meeting Abstract June 2022

Machine learning approach to identify future treatment requirement in pretreated nAMD patients based on OCT images

Ales Neubert; Andreas Maunz; Siqing Yu; Thu Le von Strauss; Andreas Wenzel; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2991 – F0261. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Development and validation of a machine learning (ML) model for predicting 3-month (M) best-corrected visual acuity (BCVA) after monthly ranibizumab (RBZ) treatment in patients with neovascular age-related macular degeneration (nAMD)

Andreas Maunz; Ian Lloyd Jones; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):24. doi:

ARVO Annual Meeting Abstract June 2021

Interpretable, feature-based predictive modeling of low and high treatment requirements in nAMD using SD-OCT

Ales Neubert; Andreas Thalhammer; Andreas Maunz; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2140. doi:

ARVO Imaging in the Eye Conference Abstract July 2020

Development and External Validation of a Machine Learning Model for Predicting Response to anti-VEGF Treatment in Patients with neovascular AMD

Ian Lloyd Jones; Andreas Maunz; Thomas Albrecht; Huanxiang Lu; Yvonna Li; Fethallah Benmansour; Jayashree Nair Sahni; Martin Gliem

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PP007. doi:

ARVO Annual Meeting Abstract June 2020

Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD)

Andreas Maunz; Fethallah Benmansour; Yun Li; Thomas Albrecht; Yan-Ping Zhang; Filippo Arcadu; Yalin Zheng; Savita Madhusudhan; Jayashree Sahni

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2649. doi:

ARVO Annual Meeting Abstract June 2020

Accurately Identify nAMD Patients with Low Anti-VEGF Treatment Need by Deep Learning

Jian Dai; Andreas Thalhammer; Michael Kawczynski; Neha Anegondi; Xiaoyong Wang; Andreas Maunz; Thomas Bengtsson; Simon S. Gao; Jeffrey Willis

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4218. doi:

ARVO Imaging in the Eye Conference Abstract August 2019

Deep learning algorithm to predict diabetic retinopathy (DR) progression on the individual patient level

Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeffrey Willis; Marco Prunotto; Zdenka Haskova

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB093. doi:

ARVO Imaging in the Eye Conference Abstract August 2019

A machine learning approach to predict response to anti-VEGF treatment in patients with neovascular age-related macular degeneration using SD-OCT

Jayashree Nair Sahni; Andreas Maunz; Filippo Arcadu; Yan-Ping Zhang_Schaerer; Yvonna Li; Thomas Albrecht; Andreas Thalhammer; Fethallah Benmansour

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB094. doi:

ARVO Annual Meeting Abstract July 2019

Deep learning predicts OCT measures of diabetic macular thickening from color fundus photographs

Jeffrey Ryuta Willis; Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; John Michon; Zdenka Haskova; Dana McClintock; Anthony P Adamis; Marco Prunotto

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1538. doi:

ARVO Annual Meeting Abstract July 2019

Deep learning algorithm for patient-level prediction of diabetic retinopathy (DR) response to vascular endothelial growth factor (VEGF) inhibition

Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeffrey Ryuta Willis; Marco Prunotto; Zdenka Haskova

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2806. doi:

Retina March 2019

Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs

PDF

Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; John Michon; Zdenka Haskova; Dana McClintock; Anthony P. Adamis; Jeffrey R. Willis; Marco Prunotto
TAGS: color, deep learning, diabetes mellitus, diabetic macular edema, fundus photography, datasets
Invest. Ophthalmol. Vis. Sci.. 2019; 60(4):852-857. doi: https://doi.org/10.1167/iovs.18-25634

Includes: Supplemental Content

« Previous

Advertisement

Follow @ARVOiovs

IOVS Home
Issues
Topics
For Authors
About
- Editorial Board

Online ISSN: 1552-5783

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

JOURNALS HOME
TOPICS
ABOUT ARVO JOURNALS

Copyright © 2015 Association for Research in Vision and Ophthalmology.

Forgot password?

To View More...

Purchase this article with an account.

Create an Account

or

Subscribe Now

×

×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

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

×

This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.Accept