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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study

Cardiovascular research, 2020-12, Vol.116 (14), p.2216-2225

2020

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Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography

European heart journal cardiovascular imaging, 2019-06, Vol.20 (6), p.636-643

2019

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Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study

Journal of Nuclear Medicine, 2019-05, Vol.60 (5), p.664-670

2019

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Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects

Circulation. Cardiovascular imaging, 2020-02, Vol.13 (2), p.e009829-e009829

2020

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Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects

Journal of cardiovascular computed tomography, 2018-01, Vol.12 (1), p.67-73

2018

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Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry

European heart journal cardiovascular imaging, 2020-05, Vol.21 (5), p.549-559

2020

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Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up

European heart journal cardiovascular imaging, 2017-12, Vol.18 (12), p.1331-1339

2017

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Quantitative Pericardial Delayed Hyperenhancement Informs Clinical Course in Recurrent Pericarditis

JACC. Cardiovascular imaging, 2017-11, Vol.10 (11), p.1337-1346

2017

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Soft tissue displacement for detection of left ventricle apical dyskinesis with transthoracic echocardiography

The international journal of cardiovascular imaging, 2023-08, Vol.39 (8), p.1425-1430

2023

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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study

Cardiovascular diabetology, 2021-01, Vol.20 (1), p.27-27, Article 27

2021

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Clinical Features Associated With Adverse Events in Patients With Post-Pericardiotomy Syndrome Following Cardiac Surgery

The American journal of cardiology, 2014-11, Vol.114 (9), p.1426-1430

2014

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Insights into biopsy-proven cardiac sarcoidosis in patients with heart failure

The Journal of heart and lung transplantation, 2016-03, Vol.35 (3), p.392-393

2016

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Association of Epicardial Fat, Hypertension, Subclinical Coronary Artery Disease, and Metabolic Syndrome With Left Ventricular Diastolic Dysfunction

The American journal of cardiology, 2012-12, Vol.110 (12), p.1793-1798

2012

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Relation of Diagonal Ear Lobe Crease to the Presence, Extent, and Severity of Coronary Artery Disease Determined by Coronary Computed Tomography Angiography

The American journal of cardiology, 2012-05, Vol.109 (9), p.1283-1287

2012

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Prognostic Value of Echocardiographic Changes in Patients with Pulmonary Arterial Hypertension Receiving Parenteral Prostacyclin Therapy

Journal of the American Society of Echocardiography, 2014-07, Vol.27 (7), p.733-741.e2

2014

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Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT

IEEE transactions on medical imaging, 2018-08, Vol.37 (8), p.1835-1846

2018

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Comparison of the Extent and Severity of Myocardial Perfusion Defects Measured by CT Coronary Angiography and SPECT Myocardial Perfusion Imaging

JACC. Cardiovascular imaging, 2010-10, Vol.3 (10), p.1010-1019

2010

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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study

JACC. Cardiovascular imaging, 2018-11, Vol.11 (11), p.1654-1663

2018

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Cardiac Computed Tomography for Quantification of Myocardial Extracellular Volume Fraction: A Systematic Review and Meta-Analysis

JACC. Cardiovascular imaging, 2023-10, Vol.16 (10), p.1306-1317

2023

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Prognostic Impact of Extent, Severity, and Heterogeneity of Abnormalities on 18F-FDG PET Scans for Suspected Cardiac Sarcoidosis

JACC. Cardiovascular imaging, 2018-02, Vol.11 (2), p.336-345

2018

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Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound

European radiology, 2019-11, Vol.29 (11), p.6129-6139

2019

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Peri-Coronary Adipose Tissue Density Is Associated With 18F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk Plaques

JACC. Cardiovascular imaging, 2019-10, Vol.12 (10), p.2000-2010

2019

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Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease

JAMA cardiology, 2018-09, Vol.3 (9), p.858

2018

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Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study

Atherosclerosis, 2021-02, Vol.318, p.76-82

2021

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Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease

JACC. Cardiovascular imaging, 2022-06, Vol.15 (6), p.1091-1102

2022

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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study

Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography

Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study

Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects

Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects

Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry

Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up

Quantitative Pericardial Delayed Hyperenhancement Informs Clinical Course in Recurrent Pericarditis

Soft tissue displacement for detection of left ventricle apical dyskinesis with transthoracic echocardiography

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study

Clinical Features Associated With Adverse Events in Patients With Post-Pericardiotomy Syndrome Following Cardiac Surgery

Insights into biopsy-proven cardiac sarcoidosis in patients with heart failure

Association of Epicardial Fat, Hypertension, Subclinical Coronary Artery Disease, and Metabolic Syndrome With Left Ventricular Diastolic Dysfunction

Relation of Diagonal Ear Lobe Crease to the Presence, Extent, and Severity of Coronary Artery Disease Determined by Coronary Computed Tomography Angiography

Prognostic Value of Echocardiographic Changes in Patients with Pulmonary Arterial Hypertension Receiving Parenteral Prostacyclin Therapy

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT

Comparison of the Extent and Severity of Myocardial Perfusion Defects Measured by CT Coronary Angiography and SPECT Myocardial Perfusion Imaging

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study

Cardiac Computed Tomography for Quantification of Myocardial Extracellular Volume Fraction: A Systematic Review and Meta-Analysis

Prognostic Impact of Extent, Severity, and Heterogeneity of Abnormalities on 18F-FDG PET Scans for Suspected Cardiac Sarcoidosis

Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound

Peri-Coronary Adipose Tissue Density Is Associated With 18F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk Plaques

Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease

Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study

Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease

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