Using artificial intelligence (AI) to prevent and treat diseases is an ultimate goal in computational
medicine. Although AI has been developed for screening and assisted decision-making …

Retrieving recipes corresponding to given dish pictures facilitates the estimation of nutrition
facts, which is crucial to various health relevant applications. The current approaches mostly …

Deep neural networks (DNNs) are vulnerable to backdoor attacks which can hide backdoor
triggers in DNNs by poisoning training data. A backdoored model behaves normally on …

Mass and radius are two of the most fundamental properties of an astronomical object.
Increasingly, new planet discoveries are being announced with a measurement of one of these …

Background Biologic therapies are widely used in patients with ulcerative colitis. Head-to-head
trials of these therapies in patients with inflammatory bowel disease are lacking. Methods …

Real-world data typically follow a long-tailed distribution, where a few majority categories
occupy most of the data while most minority categories contain a limited number of samples. …

The dominant speech separation models are based on complex recurrent or convolution
neural network that model speech sequences indirectly conditioning on context, such as …

In recent years, the abuse of a face swap technique called deepfake has raised enormous
public concerns. So far, a large number of deepfake videos (known as "deepfakes") have …

The widespread dissemination of Deepfakes demands effective approaches that can detect
perceptually convincing forged images. In this paper, we aim to capture the subtle …

PURPOSE: Tracheobronchial foreign body (TFB) aspiration is a life-threatening emergency
for children. Knowing how to reduce the incidence of complications and mortality during the …