160 citations · 218 across the 13 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
eess.IV2019★ 18 cited
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…
cs.LG2019★ 11 cited
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…
cs.LG2019★ 10 cited
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care
Ziyuan Pan, Hao Du, Kee Yuan Ngiam +3
In critical care, intensivists are required to continuously monitor high dimensional vital signs and lab measurements to detect and diagnose acute patient conditions. This has alwa…