Name: David Ouyang
Type: User
Company: Cedars Sinai Medical Center
Bio: Physician-statistician interested in cardiology, data visualization, machine learning, and the statistical analysis of large datasets.
Twitter: David_Ouyang
Location: Los Angeles, CA
Blog: https://douyang.github.io/
David Ouyang's Projects
Analysis from Nationwide Inpatient Sample
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
Resource library for getting started with deep learning work using electrocardiograms
EchoNet-Labs is a set of model for estimating common biomarkers (BNP, Troponin I, BUN, Hgb, etc) from A4c echocardiogram videos.
EchoNet-LVH is a deep learning model that quantifies ventricular hypertrophy and predicts etiologies of increased wall thickness and LVH (amyloidosis, HCM, etc).
Analysis from Nationwide Inpatient Sample
Analysis from Epic Chronicles User Log at Stanford
Analysis from Nationwide Inpatient Sample
Quantifying variation in LVEF due to variation in LV tracing and view acquisition by simulation with segmentation models.