IEEE Journal of Translational Engineering in Health and Medicine's unique aim is to publish original work in the intersection of engineering and clinical translation. The journal's focus is interdisciplinary collaborations between researchers, healthcare providers, and industry and aims to publish results and best practices from these translational efforts.
Xiuquan Du received his Ph.D. degree in computer science from Anhui University in 2010, Hefei, China. He is currently an adjunct professor in Anhui University in the Department of Computer Science and Technology. His research interests include bioinformatics, medical image analysis and machine learning.
JTEHM, Articles, Published ArticlesCardiac-DeepIED: Automatic Pixel-level Deep Segmentation for Cardiac Bi-ventricle Using Improved End-to-End Encoder-Decoder Network
Abstract Accurate segmentation of cardiac bi-ventricle (CBV) from magnetic resonance (MR) images has a great significance to analyze and evaluate the function of the cardiovascular system. However, the complex structure of CBV image makes fully automatic segmentation as a well-known challenge.... Read more
Posted on 8 MAR 2019
JTEHM, Articles, Published ArticlesCorrelated Regression Feature Learning for Automated Right Ventricle Segmentation
Abstract: Accurate segmentation of right ventricle (RV) from cardiac magnetic resonance (MR) images can help doctor to robustly quantify the clinical indices including ejection fraction. In this paper, we develop one regression convolutional neural network (RegressionCNN) that a holistic regression model... Read more
Posted on 29 JUN 2018