Search | TVST | ARVO Journals

tvst

Issues
Topics
For Authors
About
- Editorial Board

Journals Home

MANAGE ALERTS

Access Provided By:
MIT Libraries

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 (11)
Journal Articles (2)

Journal

Investigative Ophthalmology & Visual Science (11)
Translational Vision Science & Technology (2)

Article Type

ARVO Annual Meeting Abstract (11)
Articles (1)
Retina (1)

Topics

Eye Anatomy and Disorders (2)
Retina (2)
Surgery (2)
Translational Research (2)
Vitreous Disorders (1)

Tags

surgical procedures, operative (2)
training (2)
cerebrovascular accident (1)
datasets (1)
deep learning (1)
learning (1)
postoperative care (1)
regression analysis (1)
repair of hole of macula lutea (1)
retinal surgery (1)

Filters

Has Multimedia (1)

Specify Date Range

From: To: Apply

Showing 1 – 13 of 13

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Annual Meeting Abstract June 2024

Democratizing Vitreoretinal Surgery Training with a Portable and Affordable Virtual Reality Simulator in the Metaverse

Fares Antaki; Cedryk Doucet; Daniel Milad; Charles-Édouard Giguère; Benoit Ozell; Karim Hammamji

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4199.

ARVO Annual Meeting Abstract June 2024

Accelerating clinical trial recruitment via AI-enabled pre-screening for geographic atrophy

Dominic Williamson; Robbert Struyven; Reena Chopra; Fares Antaki; Mahima Jhingan; siegfried wagner; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5662.

Retina April 2024

Democratizing Vitreoretinal Surgery Training With a Portable and Affordable Virtual Reality Simulator in the Metaverse

PDF

Fares Antaki; Cedryk Doucet; Daniel Milad; Charles-Édouard Giguère; Benoît Ozell; Karim Hammamji
TAGS: retinal surgery, simulators, training, virtual reality, vitreoretinal surgery, vitrectomy, tissue membrane, surgical procedures, operative, learning
Trans. Vis. Sci. Tech.. 2024; 13(4):5. https://doi.org/10.1167/tvst.13.4.5

Includes: Multimedia, Supplemental Content

ARVO Annual Meeting Abstract June 2022

Development of a Code-Free Machine Learning Model for the Classification of Cataract Surgery Phases

Samir Touma; Fares Antaki; Renaud Duval

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2093 – F0082.

ARVO Annual Meeting Abstract June 2022

Accuracy of automated machine learning in classifying trachoma from field-collected conjunctival images

Daniel Milad; Fares Antaki; Renaud Duval

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2089 – F0078.

ARVO Annual Meeting Abstract June 2022

Predicting visual improvement after macular hole surgery: a combined model using deep learning and clinical features

Alexandre Lachance; Mathieu Godbout; Fares Antaki; Mélanie Hébert; Serge Bourgault; Mathieu Caissie; Éric Tourville; Audrey Durand; Ali Dirani

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):33.

Articles April 2022

Predicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features

PDF

Alexandre Lachance; Mathieu Godbout; Fares Antaki; Mélanie Hébert; Serge Bourgault; Mathieu Caissie; Éric Tourville; Audrey Durand; Ali Dirani
TAGS: deep learning, repair of hole of macula lutea, signs and symptoms, surgical procedures, operative, cerebrovascular accident, regression analysis, postoperative care, datasets, training
Trans. Vis. Sci. Tech.. 2022; 11(4):6. https://doi.org/10.1167/tvst.11.4.6

ARVO Annual Meeting Abstract June 2021

Automated Machine Learning Prediction of Visual Acuity from Preoperative OCT Images After Macular Hole Surgery

Alexandre Lachance; Fares Antaki; Mélanie Hébert; Serge Bourgault; Mathieu Caissie; Eric Tourville; Ali Dirani

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):96.

ARVO Annual Meeting Abstract June 2021

Automated Machine Learning Model For The Classification Of Retinal Diseases From Ultra-Widefield Pseudocolor Fundus Images

Fares Antaki; Razek Georges Coussa; Karim Hammamji; Mikael Sebag; Renaud Duval

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):118.

ARVO Annual Meeting Abstract June 2020

The Role of Hyperopia and Hypertension in Exacerbating Diabetic Retinopathy

Fares Antaki; Michael Quigley

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1771.

ARVO Annual Meeting Abstract July 2019

Long-term visual outcomes for a treat-&-extend anti-vascular endothelial growth factor regimen in eyes with neovascular age-related macular degeneration: Up to eight-year follow-up

Simon Javidi; Ali Dirani; Fares Antaki; Marc Saab; Ghassan Cordahi

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1200.

ARVO Annual Meeting Abstract September 2016

A novel heterozygous mutation in PRPH2/RDS gene causing a spectrum of phenotypic manifestations in a family with autosomal dominant retinitis pigmentosa (adRP)

Fares Antaki; Razek Georges Coussa; Christina Chakarova; Susan Wakil; Vincent Sun; Pierre Lachapelle; Allison Dorfman; Irma Lopez; Kunka Kamenarova; Shomi S Bhattacharya; Robert K Koenekoop

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):127.

ARVO Annual Meeting Abstract September 2016

The prognostic effect of peripheral non-perfusion on macular thickness and visual acuity in diabetic and venous occlusive retinopathies.

Razek Georges Coussa; Cyril Archambault; Mikel Mikhail; Fares Antaki; David E Lederer

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):3402.

« Previous

Advertisement

Follow @ARVOtvst

TVST Home
Issues
Topics
For Authors

About
- Editorial Board

Online ISSN: 2164-2591

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

JOURNALS HOME
TOPICS
ABOUT ARVO JOURNALS

Copyright © 2025 Association for Research in Vision and Ophthalmology.

Access Provided By:
MIT Libraries

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