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Reply to: Letter to the Editor regarding ‘Cardiac magnetic resonance for prophylactic implantable-cardioverter defibrillator therapy international study: prognostic value of cardiac magnetic resonance-derived right ventricular parameters substudy’

European heart journal cardiovascular imaging, 2022-09, Vol.23 (10), p.e479-e480

2022

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Effect of sodium-glucose cotransporter 2 inhibitors on cardiovascular and kidney outcomes—Systematic review and meta-analysis of randomized placebo-controlled trials

The American heart journal, 2021-02, Vol.232, p.10-22

2021

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An augmented reality system for image guidance of transcatheter procedures for structural heart disease

PloS one, 2019-07, Vol.14 (7), p.e0219174-e0219174

2019

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Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach

Cardiovascular drugs and therapy, 2024-04, Vol.38 (2), p.211-214

2024

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Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing

PloS one, 2020-07, Vol.15 (7), p.e0236827-e0236827

2020

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Promises and challenges of machine learning for device therapy in heart failure

European heart journal, 2023-05, Vol.44 (18), p.1583-1585

2023

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Use of mechanical circulatory support in patients undergoing percutaneous coronary intervention: insights from the National Cardiovascular Data Registry

Circulation (New York, N.Y.), 2015-09, Vol.132 (13), p.1243-1251

2015

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Clinical and Socioeconomic Predictors of Heart Failure Readmissions: A Review of Contemporary Literature

Mayo Clinic proceedings, 2019-07, Vol.94 (7), p.1304-1320

2019

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Differentiation of Papillary Muscle From Fascicular and Mitral Annular Ventricular Arrhythmias in Patients With and Without Structural Heart Disease

Circulation. Arrhythmia and electrophysiology, 2015-06, Vol.8 (3), p.616-624

2015

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Machine learning in cardiac CT: Basic concepts and contemporary data

Journal of cardiovascular computed tomography, 2018-05, Vol.12 (3), p.192-201

2018

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Setting the Standard for Prognostic Analysis

JACC. Cardiovascular imaging, 2019-07, Vol.12 (7), p.1339-1340

2019

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Reduction in radiation exposure using a focused low-voltage scan before coronary CT angiography

Journal of cardiovascular computed tomography, 2021-05, Vol.15 (3), p.246-248

2021

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Sodium-Glucose Cotransporter 2 Inhibitors and Cardiac Remodeling

Journal of cardiovascular translational research, 2022-10, Vol.15 (5), p.944-956

2022

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Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches

Current atherosclerosis reports, 2023-12, Vol.25 (12), p.1069-1081

2023

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Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach

Journal of the American Heart Association, 2019-03, Vol.8 (5), p.e011160-e011160

2019

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3D Printing Applications in Cardiovascular Medicine

1, 2018

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Potential impact of dynamic automated CT aortic annular measurements on outcomes for transcatheter aortic valve replacement sizing

The International Journal of Cardiovascular Imaging, 2020-11, Vol.36 (11), p.2291-2297

2020

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Prolactin Inhibition in Peripartum Cardiomyopathy: Systematic Review and Meta-analysis

Current problems in cardiology, 2023-02, Vol.48 (2), p.101461-101461, Article 101461

2023

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Influence of Iron Deficiency on Clinical and Haemodynamic Parameters in Pulmonary Arterial Hypertension Cohorts

Heart, lung & circulation, 2022-12, Vol.31 (12), p.1594-1603

2022

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Contemporary Applications of Machine Learning for Device Therapy in Heart Failure

JACC. Heart failure, 2022-09, Vol.10 (9), p.603-622

2022

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HDL cholesterol levels and susceptibility to COVID-19

EBioMedicine, 2022-08, Vol.82, p.104166-104166, Article 104166

2022

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Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study

PloS one, 2020-06, Vol.15 (6), p.e0233791-e0233791

2020

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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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Coronary artery calcium: A modern rubric for an established approach

Journal of cardiovascular computed tomography, 2020-01, Vol.14 (1), p.18-19

2020

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Reply to: Letter to the Editor regarding ‘Cardiac magnetic resonance for prophylactic implantable-cardioverter defibrillator therapy international study: prognostic value of cardiac magnetic resonance-derived right ventricular parameters substudy’

Effect of sodium-glucose cotransporter 2 inhibitors on cardiovascular and kidney outcomes—Systematic review and meta-analysis of randomized placebo-controlled trials

An augmented reality system for image guidance of transcatheter procedures for structural heart disease

Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach

Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing

Promises and challenges of machine learning for device therapy in heart failure

Use of mechanical circulatory support in patients undergoing percutaneous coronary intervention: insights from the National Cardiovascular Data Registry

Clinical and Socioeconomic Predictors of Heart Failure Readmissions: A Review of Contemporary Literature

Differentiation of Papillary Muscle From Fascicular and Mitral Annular Ventricular Arrhythmias in Patients With and Without Structural Heart Disease

Machine learning in cardiac CT: Basic concepts and contemporary data

Setting the Standard for Prognostic Analysis

Reduction in radiation exposure using a focused low-voltage scan before coronary CT angiography

Sodium-Glucose Cotransporter 2 Inhibitors and Cardiac Remodeling

Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches

Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach

3D Printing Applications in Cardiovascular Medicine

Potential impact of dynamic automated CT aortic annular measurements on outcomes for transcatheter aortic valve replacement sizing

Prolactin Inhibition in Peripartum Cardiomyopathy: Systematic Review and Meta-analysis

Influence of Iron Deficiency on Clinical and Haemodynamic Parameters in Pulmonary Arterial Hypertension Cohorts

Contemporary Applications of Machine Learning for Device Therapy in Heart Failure

HDL cholesterol levels and susceptibility to COVID-19

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study

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

Coronary artery calcium: A modern rubric for an established approach

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