Artificial intelligence in image-based cardiovascular disease analysis: A comprehensive survey and future outlook

X Wang, H Zhu - arxiv preprint arxiv:2402.03394, 2024 - arxiv.org
Recent advancements in Artificial Intelligence (AI) have significantly influenced the field of
Cardiovascular Disease (CVD) analysis, particularly in image-based diagnostics. Our paper …

DIEN: A dual-factor iterative enhancement network with the global Re-calibration feature for coronary artery segmentation

J Yang, P Hong, B Xu, L Wang, L Xu, D Chen… - … Signal Processing and …, 2025 - Elsevier
Objective Coronary artery segmentation is a prerequisite for assessing the severity of
coronary artery disease (CAD), which has a high prevalence and mortality rate. However …

A computational study of the connection between coronary revascularization and cardio-cerebral hemodynamics

Z Yan, D Shang, R Chen, J Liu, XC Cai - Computer Methods and Programs …, 2025 - Elsevier
Abstract Background and Objective: Some patients experience life-threatening strokes
during coronary revascularization. Despite its clinical importance, few numerical studies …

[HTML][HTML] Influence of the pressure wire on the fractional flow reserve calculation: CFD analysis of an ideal vessel and clinical patients with stenosis

A Otero-Cacho, MI Villa, D López-Otero… - Computer Methods and …, 2024 - Elsevier
Abstract Background and objective Fractional Flow Reserve (FFR) is generally considered
the gold standard in hemodynamics to assess the impact of a stenosis on the blood flow …

A Multi‐Scale Computational Model of the Hepatic Circulation Applied to Predict the Portal Pressure After Transjugular Intrahepatic Portosystemic Shunt (TIPS)

T Wang, Y **ang, J Wang, J Gu, L Yang… - International Journal …, 2025 - Wiley Online Library
Transjugular intrahepatic portosystemic shunt (TIPS) is a widely used surgery for portal
hypertension. In clinical practice, the diameter of the stent forming a shunt is usually selected …

A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using a Physics-Informed Neural Network

H Zhang, RH Chan, XC Tai - SIAM Journal on Scientific Computing, 2024 - SIAM
Investigating blood flow in the cardiovascular system is crucial for assessing cardiovascular
health. Computational approaches offer some noninvasive alternatives to measure blood …

An interactive platform for a high performance digital twin of a human heart

Y Gong, F Qi, JY Wang, Y Liu, T Ma… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we present an interactive platform for visualizing and manipulating the digital
twin of a human heart reconstructed from computed tomography (CT). The platform involves …

High-resolution hemodynamic estimation from ultrafast ultrasound image velocimetry using a physics-informed neural network

M Liang, J Liu, H Wang, H Chu, M Zhu… - Physics in Medicine …, 2025 - iopscience.iop.org
Objective. Estimating the high-resolution (HR) blood flow velocity and pressure fields for the
diagnosis and treatment of vascular diseases remains challenging. Approach. In this study …

Semi-analytical solution for pressure-driven non-Newtonian flows in concentric annuli

J Wang, W Tan, C Zhu - Physics of Fluids, 2024 - pubs.aip.org
Hemodynamics during cardiac catheterization can be modeled as non-Newtonian fluid flow
within concentric annuli. Rapid and precise evaluation of flow rate variations is crucial for …

A lumped parameter model for evaluating coronary artery blood supply capacity

L Cai, Q Zhong, J Xu, Y Huang… - Mathematical Biosciences …, 2024 - eprints.gla.ac.uk
The coronary artery constitutes a vital vascular system that sustains cardiac function, with its
primary role being the conveyance of indispensable nutrients to the myocardial tissue. When …