Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1712.07798
Cited By
Deep learning for predicting refractive error from retinal fundus images
21 December 2017
A. Varadarajan
Ryan Poplin
Katy Blumer
Christof Angermüller
J. Ledsam
Reena Chopra
P. Keane
G. Corrado
L. Peng
D. Webster
MedIm
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Deep learning for predicting refractive error from retinal fundus images"
11 / 11 papers shown
Title
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan
Haifei Guan
Aikaterini Melliou
Yuqi Wang
Qianhui Sun
...
Qi Huang
Jiefu Tan
Qinwang Xing
Peiwu Qin
Dongmei Yu
NAI
104
15
0
31 Jul 2022
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images
Katy Blumer
Subhashini Venugopalan
Michael P. Brenner
Jon M. Kleinberg
10
0
0
23 Jul 2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
Vignesh Srinivasan
Nils Strodthoff
Jackie Ma
Alexander Binder
Klaus-Robert Muller
Wojciech Samek
OOD
78
6
0
25 Jun 2021
I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications
Nooshin Mojab
Vahid Noroozi
Abdullah Aleem
Manoj Prabhakar Nallabothula
Joseph Baker
...
M. Rosenblatt
R. Chan
Darvin Yi
Philip S. Yu
J. Hallak
31
6
0
30 Mar 2021
Applications of Deep Learning in Fundus Images: A Review
Tao Li
Wang Bo
Chunyu Hu
Hong Kang
Hanruo Liu
Kai Wang
Huazhu Fu
61
259
0
25 Jan 2021
Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images
Baladitya Yellapragada
Sascha Hornauer
Kiersten Snyder
Stella X. Yu
Glenn Yiu
MedIm
33
4
0
22 Oct 2020
Pathological myopia classification with simultaneous lesion segmentation using deep learning
Ruben Hemelings
B. Elen
Matthew B. Blaschko
J. Jacob
Ingeborg Stalmans
P. Boever
43
52
0
04 Jun 2020
Detecting Anemia from Retinal Fundus Images
A. Mitani
Yun-Hui Liu
Abigail E. Huang
G. Corrado
L. Peng
D. Webster
N. Hammel
A. Varadarajan
26
32
0
12 Apr 2019
Artificial Intelligence for Pediatric Ophthalmology
J. Reid
Eric Eaton
47
62
0
06 Apr 2019
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
A. Varadarajan
Pinal Bavishi
Paisan Ruamviboonsuk
Peranut Chotcomwongse
Subhashini Venugopalan
...
J. Ledsam
P. Keane
G. Corrado
L. Peng
D. Webster
MedIm
98
110
0
18 Oct 2018
Direct Uncertainty Prediction for Medical Second Opinions
M. Raghu
Katy Blumer
Rory Sayres
Ziad Obermeyer
Robert D. Kleinberg
S. Mullainathan
Jon M. Kleinberg
OOD
UD
131
137
0
04 Jul 2018
1