58 citations · 70 across the 4 of their papers we have counts for
12 papers
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy +21
Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO recommends chest radiographs (CXRs) for TB screening, the limited availability of CXR interpretation is a bar…
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…
A deep learning system for differential diagnosis of skin diseases
Yuan Liu, Ayush Jain, Clara Eng +19
Skin conditions affect an estimated 1.9 billion people worldwide. A shortage of dermatologists causes long wait times and leads patients to seek dermatologic care from general prac…
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,…
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…
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
Maithra Raghu, Katy Blumer, Greg Corrado +3
In a wide array of areas, algorithms are matching and surpassing the performance of human experts, leading to consideration of the roles of human judgment and algorithmic predictio…