no code implementations • 17 Nov 2022 • Son-Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty
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.
no code implementations • MIDL 2019 • Joshua V. Stough
The automatic segmentation of heart substructures in 2D echocardiography images is a goal common to both clinicians and researchers.
no code implementations • 23 Jan 2019 • Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen, Linyuan Jing, Aalpen A. Patel, Joshua V. Stough, Christopher M. Haggerty, Brandon K. Fornwalt
We present an interpretable neural network for predicting an important clinical outcome (1-year mortality) from multi-modal Electronic Health Record (EHR) data.