18 citations · 41 across the 6 of their papers we have counts for
7 papers
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
Xiang Lan, Dianwen Ng, Shenda Hong +1
Learning information-rich and generalizable representations effectively from unlabeled multivariate cardiac signals to identify abnormal heart rhythms (cardiac arrhythmias) is valu…
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms
Hao Du, Melissa Min-Szu Yao, Liangyu Chen +2
The morphology and distribution of microcalcifications in a cluster are the most important characteristics for radiologists to diagnose breast cancer. However, it is time-consuming…
Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function
Zhaowei Zhu, Xiang Lan, Tingting Zhao +8
Cardiovascular disease is a major threat to health and one of the primary causes of death globally. The 12-lead ECG is a cheap and commonly accessible tool to identify cardiac abno…
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning
Wang Han, Wesley Yeung, Angeline Tung +4
Clinical performance audits are routinely performed in Emergency Medical Services (EMS) to ensure adherence to treatment protocols, to identify individual areas of weakness for rem…
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis
Hao Du, Jiashi Feng, Mengling Feng
In clinical practice, human radiologists actually review medical images with high resolution monitors and zoom into region of interests (ROIs) for a close-up examination. Inspired…
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
Siqi Liu, Kee Yuan Ngiam, Mengling Feng
Owe to the recent advancements in Artificial Intelligence especially deep learning, many data-driven decision support systems have been implemented to facilitate medical doctors in…