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U-Net-Based Segmentation of Coronary Arteries in Invasive Coronary Angiography
Coronary artery disease continues to be the primary reason for death, creating a difficult situation for worldwide health strategies. Among the main...
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An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-Ray Coronary Angiography
Coronary heart disease (CHD) is a serious cardiovascular illness that is among the top causes of death worldwide. Using X-ray coronary angiography,...
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Coronary Vessel Segmentation in X-ray Using U-Net
Cardiovascular disease remains a significant global health concern, causing substantial morbidity and mortality. This study addresses the limitations...
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Boundary-Aware Transformer-UNet for Coronary Vessel Segmentation
Coronary CT angiography(CTA) has become the gold standard for diagnosing heart disease. Precisely segmentation of coronary stenosis is helpful for...
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SecondOponionNet: A Novel Neural Network Architecture to Detect Coronary Atherosclerosis in Coronary CT Angiography
Cardiovascular diseases are a family of illnesses that takes millions of lives every year. This has become obvious to researchers and medical...
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Left main coronary artery morphological phenotypes and its hemodynamic properties
BackgroundAtherosclerosis may be linked to morphological defects that lead to variances in coronary artery hemodynamics. Few objective strategies...
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An Attention Guided Multi-scale Network with Channel-Enhanced Transformer for Coronary Arteries Segmentation
Coronary artery disease is a major cause of mortality and morbidity. Automatic segmentation of the coronary artery is a key step in the diagnosis of...
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Gene’s Association with Coronary Stent Stenosis After Drug Eluting Stent: Review
Drug-eluting stents are frequently employed in cardiovascular coronary revascularization procedures, primarily because of their capacity to limit...
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Prediction of Coronary Plaque Progression Using Data Mining and Artificial Neural Networks
Coronary artery disease represents one of the most significant health burdens worldwide. As the onset of the disease is multifactorial in nature,...
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Impact of cyclic bending on coronary hemodynamics
It remains unknown that the degree of bias in computational fluid dynamics results without considering coronary cyclic bending. This study aims to...
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Gene’s Association with Coronary Stent Stenosis After Drug Eluting Stent: Mini-review
Drug-eluting stents are frequently employed in cardiovascular coronary revascularization procedures, primarily because of their capacity to limit...
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Coronary Vessel Segmentation in X-ray Angiography Images Using Edge-Based Tracking Method
Automated extraction of coronary arteries is an essential process in the diagnosis of treatment for coronary artery disease (CAD) with computer...
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Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion
Accurate modeling of blood dynamics in the coronary microcirculation is a crucial step toward the clinical application of in silico methods for the...
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Numerical investigation on the impact of different coronary aneurysms morphologies on thrombus formation and hemodynamics: a comparative study
Coronary artery aneurysms (CAAs) are morphologically classified as saccular and fusiform. There is still a great deal of clinical controversy as to...
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A Novel Approach for Segmenting Coronary Artery from Angiogram Videos
This paper addresses the research focuses on coronary artery disease; it is one of the major heart diseases affecting the people all around the world...
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Influence of material parameter variability on the predicted coronary artery biomechanical environment via uncertainty quantification
Central to the clinical adoption of patient-specific modeling strategies is demonstrating that simulation results are reliable and safe. Indeed,...
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A New Coronary Artery Stenosis Detection Method with a Hybrid LSTM-CNN Model
Screening for coronary artery disease is a major health issue, knowing that the most common cause of death in industrialized countries is...
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Artificial Intelligence Based Coronary Heart Disease Prediction in Real-Time Scenarios
Globally, cardiovascular diseases, such as coronary heart disease, continue to be a major cause of mortality. Medical data analysis faces the...
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Machine learning-enhanced echocardiography for screening coronary artery disease
BackgroundSince myocardial work (MW) and left atrial strain are valuable for screening coronary artery disease (CAD), this study aimed to develop a...
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Modeling and finite element simulation of sustainable coronary stent with a variation in unit cell design
This study presents a comprehensive finite element modeling and simulation approach to investigate the mechanical behavior of sustainable coronary...
