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Integrating computational and biological hemodynamic approaches to improve modeling of atherosclerotic arteries
Atherosclerosis is the primary cause of cardiovascular disease, resulting in mortality,
elevated healthcare costs, diminished productivity, and reduced quality of life for individuals …
elevated healthcare costs, diminished productivity, and reduced quality of life for individuals …
Characteristics and evaluation of atherosclerotic plaques: an overview of state-of-the-art techniques
Z He, J Luo, M Lv, Q Li, W Ke, X Niu, Z Zhang - Frontiers in Neurology, 2023 - frontiersin.org
Atherosclerosis is an important cause of cerebrovascular and cardiovascular disease (CVD).
Lipid infiltration, inflammation, and altered vascular stress are the critical mechanisms that …
Lipid infiltration, inflammation, and altered vascular stress are the critical mechanisms that …
Simulation of atherosclerotic plaque growth using computational biomechanics and patient-specific data
Atherosclerosis is the one of the major causes of mortality worldwide, urging the need for
prevention strategies. In this work, a novel computational model is developed, which is used …
prevention strategies. In this work, a novel computational model is developed, which is used …
Computer vision techniques for growth prediction: A prisma-based systematic literature review
Growth prediction technology is not only a practical application but also a crucial approach
that strengthens the safety of image processing techniques. By supplementing the growth …
that strengthens the safety of image processing techniques. By supplementing the growth …
Extraction of coronary atherosclerotic plaques from computed tomography imaging: a review of recent methods
Background: Atherosclerotic plaques are the major cause of coronary artery disease (CAD).
Currently, computed tomography (CT) is the most commonly applied imaging technique in …
Currently, computed tomography (CT) is the most commonly applied imaging technique in …
Segmentation of coronary arteries images using spatio-temporal feature fusion network with combo loss
H Zhu, S Song, L Xu, A Song, B Yang - Cardiovascular Engineering and …, 2022 - Springer
Purpose Coronary heart disease is a serious disease that endangers human health and life.
In recent years, the incidence and mortality of coronary heart disease have increased …
In recent years, the incidence and mortality of coronary heart disease have increased …
[КНИГА][B] Atherosclerotic plaque characterization methods based on coronary imaging
Atherosclerotic Plaque Characterization Methods Based on Coronary Imaging provides a
complete review of computer methods for atherosclerotic plaque reconstruction and …
complete review of computer methods for atherosclerotic plaque reconstruction and …
Coronary artery disease detection by machine learning with coronary bifurcation features
Background: Early accurate detection of coronary artery disease (CAD) is one of the most
important medical research areas. Researchers are motivated to utilize machine learning …
important medical research areas. Researchers are motivated to utilize machine learning …
A three-dimensional quantification of calcified and non-calcified plaques in coronary arteries based on computed tomography coronary angiography images …
The detection, quantification and characterization of coronary atherosclerotic plaques has a
major effect on the diagnosis and treatment of coronary artery disease (CAD). Different …
major effect on the diagnosis and treatment of coronary artery disease (CAD). Different …
Topological 3D reconstruction of multiple anatomical structures from volumetric medical data
In the medical field, usually, practitioners mainly base their analysis on 2D slices produced
from MRI or CT-scans that correspond to restricted views of a pathology. To facilitate the …
from MRI or CT-scans that correspond to restricted views of a pathology. To facilitate the …