Textile electronics for VR/AR applications

S Liu, K Ma, B Yang, H Li, X Tao - Advanced Functional …, 2021 - Wiley Online Library
Textile electronics addresses fibers or fiber assemblies with electronic functions to generate,
transmit, modulate, and detect electrons. Interactive textile electronic devices may provide …

Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach

B Wu, Y Fang, X Lai - Computerized Medical Imaging and Graphics, 2020 - Elsevier
Cardiovascular diseases can be effectively prevented from worsening through early
diagnosis. To this end, various methods have been proposed to detect the disease source …

Multitask learning for estimating multitype cardiac indices in MRI and CT based on adversarial reverse mapping

C Yu, Z Gao, W Zhang, G Yang, S Zhao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The estimation of multitype cardiac indices from cardiac magnetic resonance imaging (MRI)
and computed tomography (CT) images attracts great attention because of its clinical …

Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks

M Zhao, X Liu, H Liu, KKL Wong - Computerized Medical Imaging and …, 2020 - Elsevier
Background and objective Cardiac magnetic resonance imaging (MRI) can assist in both
functional and structural analysis of the heart, but due to hardware and physical limitations …

Trustful internet of surveillance things based on deeply represented visual co-saliency detection

Z Gao, C Xu, H Zhang, S Li… - IEEE Internet of things …, 2020 - ieeexplore.ieee.org
Trustful Internet of Things (IoT) plays an important role in smart cities. The trust information in
surveillance data motivates the analysis of images from numerous IoT devices. Saliency …

Knee meniscus segmentation and tear detection from MRI: a review

A Saygili, S Albayrak - Current Medical Imaging, 2020 - ingentaconnect.com
Background: Automatic diagnostic systems in medical imaging provide useful information to
support radiologists and other relevant experts. The systems that help radiologists in their …

Pyramid graph cut: Integrating intensity and gradient information for grayscale medical image segmentation

T Siriapisith, W Kusakunniran, P Haddawy - Computers in Biology and …, 2020 - Elsevier
Segmentation of grayscale medical images is challenging because of the similarity of pixel
intensities and poor gradient strength between adjacent regions. The existing image …

Deep learning assessment of myocardial infarction from MR image sequences

M Chen, L Fang, Q Zhuang, H Liu - Ieee Access, 2019 - ieeexplore.ieee.org
The quantitative assessment of the location and size of myocardial infarction has important
implications for the diagnosis and treatment of ischemic cardiac diseases. In particular, the …

Ultrasound is highly specific in diagnosing compensated cirrhosis in chronic hepatitis C patients in real world clinical practice

YH Yen, FY Kuo, CH Chen, TH Hu, SN Lu, JH Wang… - Medicine, 2019 - journals.lww.com
Ultrasound is routinely used during the evaluation of liver cirrhosis. Inter-observer variability
is considered a major drawback. This retrospective study investigated the accuracy of …

Comparative study of multi-delay pseudo-continuous arterial spin labeling perfusion MRI and CT perfusion in ischemic stroke disease

X Xu, Z Tan, M Fan, M Ma, W Fang, J Liang… - Frontiers in …, 2021 - frontiersin.org
With the aging population, stroke has gradually become the leading cause of death and
disability among adults. It is necessary to verify whether multi-delay pseudo-continuous …