413 citations · 495 across the 14 of their papers we have counts for
7 papers · 1 filter
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
Dongdong Zhang, Xiaohui Yuan, Ping Zhang
Electrocardiogram (ECG) is a widely used reliable, non-invasive approach for cardiovascular disease diagnosis. With the rapid growth of ECG examinations and the insufficiency of ca…
Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation
Zicong Zhang, Kimerly Powell, Changchang Yin +4
White Matter Hyperintensities (WMH) are the most common manifestation of cerebral small vessel disease (cSVD) on the brain MRI. Accurate WMH segmentation algorithms are important t…
Estimating Individual Treatment Effects with Time-Varying Confounders
Ruoqi Liu, Changchang Yin, Ping Zhang
Estimating the individual treatment effect (ITE) from observational data is meaningful and practical in healthcare. Existing work mainly relies on the strong ignorability assumptio…
Clinical connectivity map for drug repurposing: using laboratory tests to bridge drugs and diseases
Qianlong Wen, Ruoqi Liu, Ping Zhang
Drug repurposing has attracted increasing attention from both the pharmaceutical industry and the research community. Many existing computational drug repurposing methods rely on p…
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data
Ruoqi Liu, Lai Wei, Ping Zhang
Drug repurposing is an effective strategy to identify new uses for existing drugs, providing the quickest possible transition from bench to bedside. Existing methods for drug repur…
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel +3
Traditional relational databases contain a lot of latent semantic information that have largely remained untapped due to the difficulty involved in automatically extracting such in…