AIMC Topic: Coronary Vessels

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A Deep Learning Framework for Image-Based Screening of Kawasaki Disease.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized by the presence of a combination of five clinical signs assessed during the physical examination. Timely treatment of intravenous immunoglobin is need...
Humans Mucocutaneous Lymph Node Syndrome Fever Coronary Vessels Deep Learning Child
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Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Accurate extraction of coronary arteries from invasive coronary angiography (ICA) images is essential for the diagnosis and risk stratification of coronary artery disease (CAD).
Deep Learning Image Processing, Computer-Assisted Coronary Vessels Humans Neural Networks, Computer Angiography
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Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study.

Open heart Jan 1, 2023
BACKGROUND: Angiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).
Fractional Flow Reserve, Myocardial Coronary Vessels Coronary Stenosis Coronary Angiography Constriction, Pathologic Feasibility Studies Myocardial Infarction Humans Retrospective Studies Deep Learning
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Reply to: Letter to the editor regarding 'Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre data set'.

European heart journal. Cardiovascular Imaging Dec 19, 2022
Calcium Coronary Vessels Coronary Angiography Coronary Artery Disease Humans Deep Learning
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Letter to the editor regarding 'deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset'.

European heart journal. Cardiovascular Imaging Dec 19, 2022
Calcium Coronary Vessels Coronary Angiography Coronary Artery Disease Humans Deep Learning
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Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning.

Journal of biomedical optics Oct 1, 2022
SIGNIFICANCE: Coronary heart disease has the highest rate of death and morbidity in the Western world. Atherosclerosis is an asymptomatic condition that is considered the primary cause of cardiovascular diseases. The accumulation of low-density lipop...
Lipids Humans Tomography, Optical Coherence Deep Learning Coronary Vessels Plaque, Atherosclerotic Coronary Artery Disease
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Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset.

European heart journal. Cardiovascular Imaging Jun 1, 2022
AIMS: To present and validate a fully automated, deep learning (DL)-based branch-wise coronary artery calcium (CAC) scoring algorithm on a multi-centre dataset.
Retrospective Studies Deep Learning Coronary Angiography Coronary Artery Disease Humans Calcium Coronary Vessels
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[Development of the DSA Method for Coronary Angiography Using Deep Learning Techniques].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2022
PURPOSE: DSA processing is not applied to the coronary artery because heavy artifacts will be generated in DSA images by heart beats and breathing of the patient. However, DSA images of coronary artery contribute to the accuracy of diagnosis and eluc...
Coronary Vessels Coronary Angiography Humans Angiography, Digital Subtraction Deep Learning Artifacts
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Elevated Coronary Artery Calcium Quantified by a Validated Deep Learning Model From Lung Cancer Radiotherapy Planning Scans Predicts Mortality.

JCO clinical cancer informatics Jan 1, 2022
PURPOSE: Coronary artery calcium (CAC) quantified on computed tomography (CT) scans is a robust predictor of atherosclerotic coronary disease; however, the feasibility and relevance of quantitating CAC from lung cancer radiotherapy planning CT scans ...
Lung Neoplasms Humans Risk Factors Coronary Vessels Retrospective Studies Calcium Deep Learning
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A coronary artery CTA segmentation approach based on deep learning.

Journal of X-ray science and technology Jan 1, 2022
Presence of plaque and coronary artery stenosis are the main causes of coronary heart disease. Detection of plaque and coronary artery segmentation have become the first choice in detecting coronary artery disease. The purpose of this study is to inv...
Computed Tomography Angiography Algorithms Image Processing, Computer-Assisted Coronary Vessels Tomography, X-Ray Computed Humans Deep Learning
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