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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

European heart journal, 2019-06, Vol.40 (24), p.1975-1986

2019

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Triglyceride glucose index is an independent predictor for the progression of coronary artery calcification in the absence of heavy coronary artery calcification at baseline

Cardiovascular diabetology, 2020-03, Vol.19 (1), p.34-34, Article 34

2020

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A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk Factors

Frontiers in neurology, 2018-09, Vol.9, p.699-699

2018

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Atherogenic index of plasma and the risk of advanced subclinical coronary artery disease beyond traditional risk factors: An observational cohort study

Clinical cardiology (Mahwah, N.J.), 2020-12, Vol.43 (12), p.1398-1404

2020

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Society of Cardiovascular Computed Tomography / North American Society of Cardiovascular Imaging – Expert Consensus Document on Coronary CT Imaging of Atherosclerotic Plaque

Journal of cardiovascular computed tomography, 2021-03, Vol.15 (2), p.93-109

2021

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CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning

JACC. Cardiovascular imaging, 2021-03, Vol.14 (3), p.629-641

2021

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Prognostic value of left atrial volume index in patients with rheumatic mitral stenosis

Clinical cardiology (Mahwah, N.J.), 2021-03, Vol.44 (3), p.364-370

2021

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Independent association of serum uric acid levels with arterial stiffness in the absence of established cardiovascular disorders

International journal of clinical practice (Esher), 2021-03, Vol.75 (3), p.e13720-n/a

2021

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Associations of changes in body mass index with all-cause and cardiovascular mortality in healthy middle-aged adults

PloS one, 2017-12, Vol.12 (12), p.e0189180-e0189180

2017

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Incremental prognostic value of triglyceride glucose index additional to coronary artery calcium score in asymptomatic low-risk population

Cardiovascular diabetology, 2022-09, Vol.21 (1), p.1-193, Article 193

2022

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High-Risk Morphological and Physiological Coronary Disease Attributes as Outcome Markers After Medical Treatment and Revascularization

JACC. Cardiovascular imaging, 2021-10, Vol.14 (10), p.1977-1989

2021

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Cycle Consistent Generative Motion Artifact Correction in Coronary Computed Tomography Angiography

Applied sciences, 2024-02, Vol.14 (5), p.1859

2024

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Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

IEEE access, 2020, Vol.8, p.81849-81863

2020

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Improving the reproducibility of computed tomography radiomic features using an enhanced hierarchical feature synthesis network

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Coronary CTA plaque volume severity stages according to invasive coronary angiography and FFR

Journal of cardiovascular computed tomography, 2022-09, Vol.16 (5), p.415-422

2022

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Sex differences in coronary artery calcium progression: The Korea Initiatives on Coronary Artery Calcification (KOICA) registry

PloS one, 2021-04, Vol.16 (4), p.e0248884-e0248884

2021

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Atherogenic index of plasma and coronary artery calcification progression beyond traditional risk factors according to baseline coronary artery calcium score

Scientific reports, 2020-12, Vol.10 (1), p.21324-21324, Article 21324

2020

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Prevalence and clinical features of bone morphogenetic protein receptor type 2 mutation in Korean idiopathic pulmonary arterial hypertension patients: The PILGRIM explorative cohort

PloS one, 2020-09, Vol.15 (9), p.e0238698-e0238698

2020

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Requirement Analysis and Implementation of Smart Emergency Medical Services

IEEE access, 2018-01, Vol.6, p.42022-42029

2018

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Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

IEEE access, 2021, Vol.9, p.139426-139437

2021

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Risk of new-onset diabetes among patients treated with statins according to hypertension and gender: Results from a nationwide health-screening cohort

PloS one, 2018-04, Vol.13 (4), p.e0195459-e0195459

2018

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Sinus node dysfunction after surgical atrial fibrillation ablation with concomitant mitral valve surgery: Determinants and clinical outcomes

PloS one, 2018-09, Vol.13 (9), p.e0203828-e0203828

2018

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Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images

Entropy (Basel, Switzerland), 2021-01, Vol.23 (1), p.64

2021

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Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data

Journal of clinical medicine, 2019-08, Vol.8 (9), p.1336

2019

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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Triglyceride glucose index is an independent predictor for the progression of coronary artery calcification in the absence of heavy coronary artery calcification at baseline

A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk Factors

Atherogenic index of plasma and the risk of advanced subclinical coronary artery disease beyond traditional risk factors: An observational cohort study

Society of Cardiovascular Computed Tomography / North American Society of Cardiovascular Imaging – Expert Consensus Document on Coronary CT Imaging of Atherosclerotic Plaque

CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning

Prognostic value of left atrial volume index in patients with rheumatic mitral stenosis

Independent association of serum uric acid levels with arterial stiffness in the absence of established cardiovascular disorders

Atherogenic index of plasma and the risk of rapid progression of coronary atherosclerosis beyond traditional risk factors

Associations of changes in body mass index with all-cause and cardiovascular mortality in healthy middle-aged adults

Incremental prognostic value of triglyceride glucose index additional to coronary artery calcium score in asymptomatic low-risk population

High-Risk Morphological and Physiological Coronary Disease Attributes as Outcome Markers After Medical Treatment and Revascularization

Cycle Consistent Generative Motion Artifact Correction in Coronary Computed Tomography Angiography

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Improving the reproducibility of computed tomography radiomic features using an enhanced hierarchical feature synthesis network

Coronary CTA plaque volume severity stages according to invasive coronary angiography and FFR

Sex differences in coronary artery calcium progression: The Korea Initiatives on Coronary Artery Calcification (KOICA) registry

Atherogenic index of plasma and coronary artery calcification progression beyond traditional risk factors according to baseline coronary artery calcium score

Prevalence and clinical features of bone morphogenetic protein receptor type 2 mutation in Korean idiopathic pulmonary arterial hypertension patients: The PILGRIM explorative cohort

Requirement Analysis and Implementation of Smart Emergency Medical Services

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Risk of new-onset diabetes among patients treated with statins according to hypertension and gender: Results from a nationwide health-screening cohort

Sinus node dysfunction after surgical atrial fibrillation ablation with concomitant mitral valve surgery: Determinants and clinical outcomes

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images

Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data

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