14 citations · 20 across the 5 of their papers we have counts for
5 papers
Empirical Evidence That There Is No Such Thing As A Validated Prediction Model
Florian D. van Leeuwen, Ewout W. Steyerberg, David van Klaveren +3
Background: External validations are essential to assess clinical prediction models (CPMs) before deployment. Apart from model misspecification, differences in patient population a…
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis
Zhe Huang, Xiaowei Yu, Benjamin S. Wessler +1
Automated interpretation of ultrasound imaging of the heart (echocardiograms) could improve the detection and treatment of aortic stenosis (AS), a deadly heart disease. However, ex…
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang, Benjamin S. Wessler, Michael C. Hughes
Aortic stenosis (AS) is a degenerative valve condition that causes substantial morbidity and mortality. This condition is under-diagnosed and under-treated. In clinical practice, A…
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Zhe Huang, Mary-Joy Sidhom, Benjamin S. Wessler +1
Semi-supervised learning (SSL) promises improved accuracy compared to training classifiers on small labeled datasets by also training on many unlabeled images. In real applications…
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
Zhe Huang, Gary Long, Benjamin Wessler +1
Semi-supervised image classification has shown substantial progress in learning from limited labeled data, but recent advances remain largely untested for clinical applications. Mo…