Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist

Artificial Intelligence in Medical Practice: The Question to the Answer?

(2018) D. Douglas Miller et al.   AMERICAN JOURNAL OF MEDICINE

Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database

(2018) Kenichi Nakajima et al.   ANNALS OF NUCLEAR MEDICINE

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve

(2018) Adriaan Coenen et al.   Circulation-Cardiovascular Imaging

Automated SPECT analysis compared with expert visual scoring for the detection of FFR-defined coronary artery disease

(2018) R. S. Driessen et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study

(2018) Damini Dey et al.   EUROPEAN RADIOLOGY

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

(2018) Qiao Zheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography

(2018) Manoj Mannil et al.   INVESTIGATIVE RADIOLOGY

Health Care Spending in the United States and Other High-Income Countries

(2018) Irene Papanicolas et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Machine learning in the integration of simple variables for identifying patients with myocardial ischemia

(2018) Luis Eduardo Juarez-Orozco et al.   JOURNAL OF NUCLEAR CARDIOLOGY

Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning

(2018) David Haro Alonso et al.   JOURNAL OF NUCLEAR CARDIOLOGY

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

(2018) Majd Zreik et al.   MEDICAL IMAGE ANALYSIS

Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images

(2018) Bettina Baessler et al.   RADIOLOGY

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT

(2018) Julian Betancur et al.   JACC-Cardiovascular Imaging

Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning

(2018) Julian Betancur et al.   JACC-Cardiovascular Imaging

Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning

(2018) Manar D Samad et al.   European Heart Journal-Cardiovascular Imaging

Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry

(2018) Alexander R. van Rosendael et al.   Journal of Cardiovascular Computed Tomography

Deep Learning—A Technology With the Potential to Transform Health Care

(2018) Geoffrey Hinton   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation

(2018) Mahdi Tabassian et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Fully Automated Echocardiogram Interpretation in Clinical Practice

(2018) Jeffrey Zhang et al.   CIRCULATION

Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy

(2018) Maja Cikes et al.   EUROPEAN JOURNAL OF HEART FAILURE

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography

(2018) Majd Zreik et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study

(2017) Kenichi Nakajima et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Generative Adversarial Networks for Noise Reduction in Low-Dose CT

(2017) Jelmer M. Wolterink et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results

(2017) Avan Suinesiaputra et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification

(2017) Mahdi Tabassian et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Incremental role of resting myocardial computed tomography perfusion for predicting physiologically significant coronary artery disease: A machine learning approach

(2017) Donghee Han et al.   JOURNAL OF NUCLEAR CARDIOLOGY

Artificial Intelligence in Precision Cardiovascular Medicine

(2017) Chayakrit Krittanawong et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Feasibility and Accuracy of Automated Software for Transthoracic Three-Dimensional Left Ventricular Volume and Function Analysis: Comparisons with Two-Dimensional Echocardiography, Three-Dimensional Transthoracic Manual Method, and Cardiac Magnetic Resonance Imaging

(2017) Gloria Tamborini et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences

(2017) Li Kuo Tan et al.   MEDICAL IMAGE ANALYSIS

Automatic apical view classification of echocardiograms using a discriminative learning dictionary

(2017) Hanan Khamis et al.   MEDICAL IMAGE ANALYSIS

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

(2017) Tuan Anh Ngo et al.   MEDICAL IMAGE ANALYSIS

Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation

(2017) Moti Freiman et al.   MEDICAL PHYSICS

Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study

(2017) Timothy J. W. Dawes et al.   RADIOLOGY

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures

(2017) Bobak J. Mortazavi et al.   IEEE Journal of Biomedical and Health Informatics

Cognitive Machine-Learning Algorithm for Cardiac ImagingCLINICAL PERSPECTIVE

(2016) Partho P. Sengupta et al.   Circulation-Cardiovascular Imaging

Automatic assessment of mitral regurgitation severity based on extensive textural features on 2D echocardiography videos

(2016) Hanie Moghaddasi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

(2016) Piotr Ponikowski et al.   EUROPEAN HEART JOURNAL

A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

(2016) Lucian Itu et al.   JOURNAL OF APPLIED PHYSIOLOGY

Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography

(2016) Sukrit Narula et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

(2016) Jelmer M. Wolterink et al.   MEDICAL IMAGE ANALYSIS

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

(2016) M.R. Avendi et al.   MEDICAL IMAGE ANALYSIS

Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

(2016) Rashed Karim et al.   MEDICAL IMAGE ANALYSIS

Big data analytics to improve cardiovascular care: promise and challenges

(2016) John S. Rumsfeld et al.   Nature Reviews Cardiology

Compressive sensing in medical imaging

(2015) Christian G. Graff et al.   APPLIED OPTICS

Computer-aided diagnosis of Myocardial Infarction using ultrasound images with DWT, GLCM and HOS methods: A comparative study

(2015) K. Sudarshan Vidya et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection

(2015) Jelmer M. Wolterink et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Semi-automated echocardiographic quantification of right ventricular size and function

(2015) Diego Medvedofsky et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain

(2015) Christian Knackstedt et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population

(2014) Reza Arsanjani et al.   JOURNAL OF NUCLEAR CARDIOLOGY

Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data

(2013) G. Carneiro et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population

(2013) Reza Arsanjani et al.   JOURNAL OF NUCLEAR CARDIOLOGY

The Faces of Personalized Medicine: A Framework for Understanding Its Meaning and Scope

(2013) W. Ken Redekop et al.   VALUE IN HEALTH

Diagnostic Performance of 64-Multidetector Row Coronary Computed Tomographic Angiography for Evaluation of Coronary Artery Stenosis in Individuals Without Known Coronary Artery Disease

(2008) Matthew J. Budoff et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY