9 citations · 19 across the 3 of their papers we have counts for
3 papers
eess.SP2019★ 9 cited
Development of a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications
Guanglin Tang, Yulong Yan, Chenyang Shen +6
An indoor, real-time location system (RTLS) can benefit both hospitals and patients by improving clinical efficiency through data-driven optimization of procedures. Bluetooth-based…
cs.CV2018★ 1 cited
Automatic multi-objective based feature selection for classification
Zhiguo Zhou, Shulong Li, Genggeng Qin +3
Objective: Accurately classifying the malignancy of lesions detected in a screening scan is critical for reducing false positives. Radiomics holds great potential to differentiate…
physics.med-ph2017★ 9 cited
Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling
Timothy Rozario, Troy Long, Mingli Chen +2
Data cleaning consumes about 80% of the time spent on data analysis for clinical research projects. This is a much bigger problem in the era of big data and machine learning in the…