Resource library for getting started with deep learning work using electrocardiograms

PreOpNet is an ECG-waveform based architecture for prediction of post-operative mortality and MACE

Clinical decision support system by HealthRex laboratory at Stanford University.

Creates a GradioHub interface for Echonet-Dynamic Model

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Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

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.