Applications of artificial intelligence in cardiovascular imaging

The ‘Digital Twin’ to enable the vision of precision cardiology

(2020) Jorge Corral-Acero et al.   EUROPEAN HEART JOURNAL

Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations

(2020) Michael P. Recht et al.   EUROPEAN RADIOLOGY

Genetic and functional insights into the fractal structure of the heart

(2020) Hannah V. Meyer et al.   NATURE

A population-based phenome-wide association study of cardiac and aortic structure and function

(2020) Wenjia Bai et al.   NATURE MEDICINE

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

(2020) Partho P. Sengupta et al.   JACC-Cardiovascular Imaging

Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images

(2020) Julia M. H. Noothout et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study

(2019) Kathleen Gilbert et al.   Scientific Reports

Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data

(2019) Luca Biasiolli et al.   PLoS One

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

Artificial Intelligence in Cardiovascular Imaging

(2019) Damini Dey et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Putting machine learning into motion: applications in cardiovascular imaging

(2019) D.P. O'Regan   CLINICAL RADIOLOGY

The present and future of deep learning in radiology

(2019) Luca Saba et al.   EUROPEAN JOURNAL OF RADIOLOGY

Quantitative CMR Population Imaging on 20,000 Subjects of the UK Biobank Imaging Study: LV/RV Quantification Pipeline and its Evaluation

(2019) Rahman Attar et al.   MEDICAL IMAGE ANALYSIS

Breaking the state of the heart: meshless model for cardiac mechanics

(2019) Èric Lluch et al.   Biomechanics and Modeling in Mechanobiology

Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis

(2019) Nripesh Parajuli et al.   MEDICAL IMAGE ANALYSIS

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

(2019) Ilkay Oksuz et al.   MEDICAL IMAGE ANALYSIS

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

(2019) Nan Zhang et al.   RADIOLOGY

Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert

(2019) Federico M. Asch et al.   Circulation-Cardiovascular Imaging

Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension

(2019) Wenjun Yan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Discriminative dictionary learning for local LV wall motion classification in cardiac MRI

(2019) Juan José Mantilla et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning a Probabilistic Model for Diffeomorphic Registration

(2019) Julian Krebs et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography

(2019) Sarah Leclerc et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach

(2019) Jinming Duan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow

(2019) Qiao Zheng et al.   MEDICAL IMAGE ANALYSIS

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

(2019) Geert Litjens et al.   JACC-Cardiovascular Imaging

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

(2019) K. R. Siegersma et al.   Netherlands Heart Journal

Computational quantification of patient-specific changes in ventricular dynamics associated with pulmonary hypertension

(2019) Henrik Finsberg et al.   AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY

A Multicenter, Scan-Rescan, Human and Machine Learning CMR Study to Test Generalizability and Precision in Imaging Biomarker Analysis

(2019) Anish N. Bhuva et al.   Circulation-Cardiovascular Imaging

TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors

(2019) Matthew Chung Hai Lee et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Can machine learning improve patient selection for cardiac resynchronization therapy?

(2019) Szu-Yeu Hu et al.   PLoS One

Evaluation of a Deep Learning–Based Automated CT Coronary Artery Calcium Scoring Algorithm

(2019) Simon S. Martin et al.   JACC-Cardiovascular Imaging

Deep learning segmentation of major vessels in X-ray coronary angiography

(2019) Su Yang et al.   Scientific Reports

Assessment of ventricular tachyarrhythmia in patients with hypertrophic cardiomyopathy with machine learning-based texture analysis of late gadolinium enhancement cardiac MRI

(2019) D. Alis et al.   Diagnostic and Interventional Imaging

Artificial intelligence in pediatric and adult congenital cardiac MRI: an unmet clinical need

(2019) Arghavan Arafati et al.   Cardiovascular Diagnosis and Therapy

Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks

(2019) Georgios Kissas et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep learning acceleration of Total Lagrangian Explicit Dynamics for soft tissue mechanics

(2019) Felix Meister et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A pipeline for image based intracardiac CFD modeling and application to the evaluation of the PISA method

(2019) Alexandre This et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke

(2019) A. Hilbert et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Self-supervised learning for medical image analysis using image context restoration

(2019) Liang Chen et al.   MEDICAL IMAGE ANALYSIS

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

(2019) Xiahai Zhuang et al.   MEDICAL IMAGE ANALYSIS

Disentangled representation learning in cardiac image analysis

(2019) Agisilaos Chartsias et al.   MEDICAL IMAGE ANALYSIS

Deep Learning in Ultrasound Imaging

(2019) Ruud J. G. van Sloun et al.   PROCEEDINGS OF THE IEEE

Model-Based and Data-Driven Strategies in Medical Image Computing

(2019) Daniel Rueckert et al.   PROCEEDINGS OF THE IEEE

A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes

(2019) Jinbao Dong et al.   IEEE Journal of Biomedical and Health Informatics

Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography

(2019) Borge Solli Andreassen et al.   IEEE Journal of Biomedical and Health Informatics

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

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

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

Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images

(2018) Rocio Cabrera Lozoya et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy

(2018) Sophie Giffard-Roisin et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases

(2018) Nicolas Duchateau et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?

(2018) Olivier Bernard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Precise and Automatic Patient Positioning in Computed Tomography

(2018) Natalia Saltybaeva et al.   INVESTIGATIVE RADIOLOGY

Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks

(2018) Davis M. Vigneault et al.   MEDICAL IMAGE ANALYSIS

Automatic initialization and quality control of large-scale cardiac MRI segmentations

(2018) Xènia Albà et al.   MEDICAL IMAGE ANALYSIS

Radiology in 2018: Are You Working with AI or Being Replaced by AI?

(2018) David A. Bluemke   RADIOLOGY

3-D Neural denoising for low-dose Coronary CT Angiography (CCTA)

(2018) Michael Green et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

Crowdsourcing consensus: proposal of a novel method for assessing accuracy in echocardiography interpretation

(2018) Stephanie Minter et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Photon-counting CT: Technical Principles and Clinical Prospects

(2018) Martin J. Willemink et al.   RADIOLOGY

Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications

(2018) Matthijs Cluitmans et al.   Frontiers in Physiology

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

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

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

(2018) Martin J. Willemink et al.   EUROPEAN RADIOLOGY

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

(2018) Zachi I. Attia et al.   NATURE MEDICINE

Computational models in cardiology

(2018) Steven A. Niederer et al.   Nature Reviews Cardiology

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks

(2018) T. Lossau et al.   MEDICAL IMAGE ANALYSIS

Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms

(2018) Mohammed Alawad et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Learning-Based Quality Control for Cardiac MR Images

(2018) Giacomo Tarroni et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN

(2018) Le Zhang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches

(2017) Jan L. Bruse et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

(2017) Florin Cristian Ghesu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Unintended Consequences of Machine Learning in Medicine

(2017) Federico Cabitza et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography

(2017) Sasa Grbic et al.   MEDICAL IMAGE ANALYSIS

Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation

(2017) Fan Zhang et al.   MEDICAL IMAGE ANALYSIS

Characterization of myocardial motion patterns by unsupervised multiple kernel learning

(2017) Sergio Sanchez-Martinez et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Noninvasive FFR Derived From Coronary CT Angiography

(2017) Michael T. Lu et al.   JACC-Cardiovascular Imaging

Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks

(2017) Fangzhou Liao et al.   IEEE Transactions on Cybernetics

Cognitive Machine-Learning Algorithm for Cardiac ImagingCLINICAL PERSPECTIVE

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

An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model

(2016) Xenia Alba et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Biophysical Modeling Predicts Ventricular Tachycardia Inducibility and Circuit Morphology: A Combined Clinical Validation and Computer Modeling Approach

(2016) ZHONG CHEN et al.   JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY

Cardiac image modelling: Breadth and depth in heart disease

(2016) Avan Suinesiaputra et al.   MEDICAL IMAGE ANALYSIS

A self-taught artificial agent for multi-physics computational model personalization

(2016) Dominik Neumann et al.   MEDICAL IMAGE ANALYSIS

Shaping the future through innovations: From medical imaging to precision medicine

(2016) Dorin Comaniciu et al.   MEDICAL IMAGE ANALYSIS

Four challenges in medical image analysis from an industrial perspective

(2016) Jürgen Weese et al.   MEDICAL IMAGE ANALYSIS

Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

(2016) Radomir Chabiniok et al.   Interface Focus

The Virtual Physiological Human: The Physiome Project Aims to Develop Reproducible, Multiscale Models for Clinical Practice

(2016) Peter Hunter   IEEE Pulse

Deep learning

(2015) Yann LeCun et al.   NATURE

Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart

(2015) Elham Kayvanpour et al.   PLoS One

The Living Heart Project: A robust and integrative simulator for human heart function

(2014) Brian Baillargeon et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

Real-time ultrasound transducer localization in fluoroscopy images by transfer learning from synthetic training data

(2014) Tobias Heimann et al.   MEDICAL IMAGE ANALYSIS

Computational Fluid Dynamics Applied to Cardiac Computed Tomography for Noninvasive Quantification of Fractional Flow Reserve

(2013) Charles A. Taylor et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Contour tracking in echocardiographic sequences via sparse representation and dictionary learning

(2013) Xiaojie Huang et al.   MEDICAL IMAGE ANALYSIS

Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images

(2012) A. Prakosa et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Constrained manifold learning for the characterization of pathological deviations from normality

(2012) Nicolas Duchateau et al.   MEDICAL IMAGE ANALYSIS

Computational modelling of the right ventricle in repaired tetralogy of Fallot: can it provide insight into patient treatment?

(2012) B. Leonardi et al.   European Heart Journal-Cardiovascular Imaging

ENERGY-PRESERVING MUSCLE TISSUE MODEL: FORMULATION AND COMPATIBLE DISCRETIZATIONS

(2011) Dominique Chapelle et al.   International Journal for Multiscale Computational Engineering

Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation

(2011) M. Sermesant et al.   MEDICAL IMAGE ANALYSIS

Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to Eikonal-Diffusion models in cardiac electrophysiology

(2011) Ender Konukoglu et al.   PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY

The Cardiac Physiome: perspectives for the future

(2008) James Bassingthwaighte et al.   EXPERIMENTAL PHYSIOLOGY

Toward Patient-Specific Myocardial Models of the Heart

(2008) Maxime Sermesant et al.   Heart Failure Clinics