Research Highlights
Exciting work from out faculty featured below. Subscribe to our Youtube channel to watch more research highlights, including student work!

ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography
Dr. Ahmed Alaa et al develop a unified evaluation protocol, the echocardiographic task adaptation benchmark (ETAB). Echocardiography is one of the most commonly used non-invasive imaging techniques in Cardiology. ETAB is a benchmarking framework for developing deep learning models of echocardiograms using publicly available data sets.

Ethical Machine Learning in Healthcare
Dr. Irene Chen, et al frame ethics of ML in healthcare through the lens of social justice. They describe ongoing efforts and outline challenges in a proposed pipeline of ethical ML in health, ranging from problem selection to post deployment considerations.


