A Learning Based Hypothesis Test for Harmful Covariate Shift

2 code implementations • 6 Dec 2022 • Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan

The ability to quickly and accurately identify covariate shift at test time is a critical and often overlooked component of safe machine learning systems deployed in high-risk domains.

Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography

1 code implementation • 3 Feb 2021 • Fatemeh Taheri Dezaki, Christina Luong, Tom Ginsberg, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang

In echocardiography (echo), an electrocardiogram (ECG) is conventionally used to temporally align different cardiac views for assessing critical measurements.

One-Shot Learning Self-Supervised Learning