[HTML][HTML] Combinatorial use of machine learning and logistic regression for predicting carotid plaque risk among 5.4 million adults with fatty liver disease receiving …

Y Deng, Y Ma, J Fu, X Wang, C Yu, J Lv… - JMIR Public Health …, 2023 - publichealth.jmir.org
Background: Carotid plaque can progress into stroke, myocardial infarction, etc, which are
major global causes of death. Evidence shows a significant increase in carotid plaque …

Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging

X Chen, X Fan, B Chiu - … Conference on Medical Image Computing and …, 2023 - Springer
We developed an interpretable deep biomarker known as Siamese change biomarker
generation network (SCBG-Net) to evaluate the effects of therapies on carotid …

Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos

X Zhou, Y Huang, W Xue, X Yang, Y Zou… - … Conference on Medical …, 2023 - Springer
Localization of the narrowest position of the vessel and corresponding vessel and remnant
vessel delineation in carotid ultrasound (US) are essential for carotid stenosis grading …

An integrated visual analytics system for studying clinical carotid artery plaques

C Xu, Z Zheng, Y Fu, B Chang, L Chen, M Wu… - Journal of …, 2024 - Springer
Carotid artery plaques can cause arterial vascular diseases such as stroke and myocardial
infarction, posing a severe threat to human life. However, the current clinical examination …