6 citations · 6 across the 1 of their papers we have counts for
2 papers
eess.IV2022★ 6 cited
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…
q-bio.QM2019
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…