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02/08/2022
Generative multitask learning mitigates target-causing confounding
We propose a simple and scalable approach to causal representation learn...
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11/28/2020
Differences between human and machine perception in medical diagnosis
Deep neural networks (DNNs) show promise in image-based medical diagnosi...
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09/19/2020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms
Breast cancer is the most common cancer in women, and hundreds of thousa...
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08/04/2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
During the COVID-19 pandemic, rapid and accurate triage of patients at t...
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03/23/2020