David Ouyang's repositories
EchoNetDynamic
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
Mechanical-Circulatory-Support-Outcomes
Analysis from Nationwide Inpatient Sample
Physician-EMR-Usage
Analysis from Epic Chronicles User Log at Stanford
Anterior-Temporal-Lobectomy-Outcomes
Analysis from Nationwide Inpatient Sample
IntroECG
Resource library for getting started with deep learning work using electrocardiograms
labs
EchoNet-Labs is a set of model for estimating common biomarkers (BNP, Troponin I, BUN, Hgb, etc) from A4c echocardiogram videos.
lvh
EchoNet-LVH is a deep learning model that quantifies ventricular hypertrophy and predicts etiologies of increased wall thickness and LVH (amyloidosis, HCM, etc).
Sinonasal-Surgery-Outcomes
Analysis from Nationwide Inpatient Sample
variance
Quantifying variation in LVEF due to variation in LV tracing and view acquisition by simulation with segmentation models.