Search | TVST | ARVO Journals

Access Provided By:
MIT Libraries

Forgot password?

Create an Account

View

Showing 1 – 9 of 9

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Annual Meeting Abstract June 2024

Real-World Performance of a Deep Learning Diabetic Retinopathy Algorithm

Arthur abrant; Preeti Singh; Lu Yang; Jay Nayar; Yossi Matias; Greg Corrado; Dale Wesbter; Sunny Virmani; Anchintha Meenu; Naresh Kannan; Jonathan Krause; Florence Thng; Lily Peng; Yun Liu; Kasumi Widner; Ramasamy Kim

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2323.

ARVO Annual Meeting Abstract June 2024

Validating a Deep Learning based Diabetic Retinopathy Model among Patients with Young-onset diabetes

Antonio Tan-Torres; Praveen Pradeep; divleen jeji; Arthur Brant; Lu Yang; Preeti Singh; Tayyeba Ali; Ilana Traynis; Dushyantsinh Jadeja; Rajroshan Sawhney; Yun Liu; Kasumi Widner; Sunny Virmani; Pradeep Venkatesh; Jonathan Krause; Nikhil Tandon

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5657.

ARVO Annual Meeting Abstract June 2022

Performance of a Diabetic Retinopathy Deep Learning Model for Ultra-widefield Imaging

Tunde Peto; Lloyd P Aiello; Srinivas R Sadda; Drew Lewis; Anne Marie Cairns; Dana Keane; Sunny Virmani; Jerry Cavallerano; Barbra Hamill; Lily Peng; Sara Ellen Godek; Lu Yang; Naho Kitade; Jonathan Krause; Kira Whitehouse; Dale Webster

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):587 – A0152.

ARVO Annual Meeting Abstract June 2020

Challenges in evaluating clinical deployments of Deep Learning Assisted Diagnostics for Diabetic Retinopathy Screening

Gregory Wolff; Rory Sayres; Varun Gulshan; Kasumi Widner; Jonathan Krause; Dushyant Jadeja; Kim Ramasamy; Parida Haemoglobin

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2045.

ARVO Annual Meeting Abstract June 2020

Identifying and mitigating low-quality labels for deep learning in glaucoma

Joy Hsu; Sonia Phene; Jieying Luo; Akinori Mitani; Naama Hammel; Jonathan Krause; Rory Sayres

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4537.

ARVO Annual Meeting Abstract June 2020

Performance of Deep Learning Glaucoma Suspect Models Compared to Various Reference Standards

Lu Yang; Carter Dunn; Abigail E Huang; Naama Hammel; Ilana Traynis; Monica Gandhi; Jonathan Krause; Sonia Phene

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4538.

Articles December 2019

Remote Tool-Based Adjudication for Grading Diabetic Retinopathy

PDF

Mike Schaekermann; Naama Hammel; Michael Terry; Tayyeba K. Ali; Yun Liu; Brian Basham; Bilson Campana; William Chen; Xiang Ji; Jonathan Krause; Greg S. Corrado; Lily Peng; Dale R. Webster; Edith Law; Rory Sayres
TAGS: diabetic retinopathy, participation in ward rounds, reliability, reference standards
Trans. Vis. Sci. Tech.. 2019; 8(6):40. https://doi.org/10.1167/tvst.8.6.40

Includes: Supplemental Content

ARVO Annual Meeting Abstract July 2019

Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images

Ashish Bora; Jonathan Krause; Anita Misra; Carter Dunn; Ali Zaidi; Oscar Kuruvilla; Joshua Carlson; Siva Balasubramanian; Christopher Semturs; Lily Peng; Dale R Webster

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1448.

ARVO Annual Meeting Abstract July 2018

Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation

Rory Sayres; Ankur Taly; Ehsan Rahimy; Katy Blumer; David Coz; Naama Hammel; Jonathan Krause; Arunachalam Narayanaswamy; Zahra Rastegar; Derek Wu; Shawn Xu; Lily Peng; Dale Webster

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1227.

Advertisement