6 citations · 6 across the 1 of their papers we have counts for
3 papers
Bayesian Optimization of 2D Echocardiography Segmentation
Son-Tung Tran, Joshua V. Stough, Xiaoyan Zhang +1
Bayesian Optimization (BO) is a well-studied hyperparameter tuning technique that is more efficient than grid search for high-cost, high-parameter machine learning problems. Echoca…
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data
Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing +12
The electrocardiogram (ECG) is a widely-used medical test, typically consisting of 12 voltage versus time traces collected from surface recordings over the heart. Here we hypothesi…
A deep neural network to enhance prediction of 1-year mortality using echocardiographic videos of the heart
Alvaro Ulloa, Linyuan Jing, Christopher W Good +13
Predicting future clinical events helps physicians guide appropriate intervention. Machine learning has tremendous promise to assist physicians with predictions based on the discov…