activity
20182023
most citedPredicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning

10 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2023

Summary Reports Optimization in the Privacy Sandbox Attribution Reporting API

Hidayet Aksu, Badih Ghazi, Pritish Kamath +4

The Privacy Sandbox Attribution Reporting API has been recently deployed by Google Chrome to support the basic advertising functionality of attribution reporting (aka conversion me…

cs.CV2020

Scientific Discovery by Generating Counterfactuals using Image Translation

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster +10

Model explanation techniques play a critical role in understanding the source of a model's performance and making its decisions transparent. Here we investigate if explanation tech…

cs.CV2019

Detecting Anemia from Retinal Fundus Images

Akinori Mitani, Yun Liu, Abigail Huang +5

Despite its high prevalence, anemia is often undetected due to the invasiveness and cost of screening and diagnostic tests. Though some non-invasive approaches have been developed,…

cs.CV201910 cited

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning

Boris Babenko, Siva Balasubramanian, Katy E. Blumer +5

Background: Patients with neovascular age-related macular degeneration (AMD) can avoid vision loss via certain therapy. However, methods to predict the progression to neovascular a…

cs.CV2018

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Avinash Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk +15

Diabetic eye disease is one of the fastest growing causes of preventable blindness. With the advent of anti-VEGF (vascular endothelial growth factor) therapies, it has become incre…