360 citations · 517 across the 10 of their papers we have counts for
10 papers
Automated Respiratory Event Detection Using Deep Neural Networks
Thijs E Nassi, Wolfgang Ganglberger, Haoqi Sun +5
The gold standard to assess respiration during sleep is polysomnography; a technique that is burdensome, expensive (both in analysis time and measurement costs), and difficult to r…
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
Siddharth Biswal, Soumya Ghosh, Jon Duke +3
Researchers require timely access to real-world longitudinal electronic health records (EHR) to develop, test, validate, and implement machine learning solutions that improve the q…
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Siddharth Biswal, Peiye Zhuang, Ayis Pyrros +3
Deep generative models have enabled the automated synthesis of high-quality data for diverse applications. However, the most effective generative models are specialized to data fro…
CLARA: Clinical Report Auto-completion
Siddharth Biswal, Cao Xiao, Lucas M. Glass +2
Generating clinical reports from raw recordings such as X-rays and electroencephalogram (EEG) is an essential and routine task for doctors. However, it is often time-consuming to w…
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Limeng Cui, Siddharth Biswal, Lucas M. Glass +3
Rare diseases affect hundreds of millions of people worldwide but are hard to detect since they have extremely low prevalence rates (varying from 1/1,000 to 1/200,000 patients) and…
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
Siddharth Biswal, Cao Xiao, Lucas M. Glass +2
Massive electronic health records (EHRs) enable the success of learning accurate patient representations to support various predictive health applications. In contrast, doctor repr…