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Applications and comparisons of four time series models in epidemiological surveillance data

PloS one, 2014-02, Vol.9 (2), p.e88075-e88075

2014

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Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Journal of cardiovascular magnetic resonance, 2019-10, Vol.21 (1), p.61-61, Article 61

2019

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

Medical image analysis, 2018-01, Vol.43, p.129-141

2018

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Comparative study of four time series methods in forecasting typhoid fever incidence in China

PloS one, 2013-05, Vol.8 (5), p.e63116-e63116

2013

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Evaluation of left ventricular torsion by cardiovascular magnetic resonance

Journal of cardiovascular magnetic resonance, 2012-07, Vol.14 (1), p.49-49, Article 56

2012

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An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline

Frontiers in physiology, 2021-09, Vol.12, p.716597-716597

2021

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Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours

Journal of cardiovascular magnetic resonance, 2015-07, Vol.17 (1), p.63-63, Article 63

2015

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Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank

Journal of cardiovascular magnetic resonance, 2019-07, Vol.21 (1), p.41-41, Article 41

2019

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Biventricular shape modes discriminate pulmonary valve replacement in tetralogy of Fallot better than imaging indices

Scientific reports, 2023-02, Vol.13 (1), p.2335-2335, Article 2335

2023

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Four-dimensional flow cardiovascular magnetic resonance in tetralogy of Fallot: a systematic review

Journal of cardiovascular magnetic resonance, 2021-05, Vol.23 (1), p.59-23, Article 59

2021

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Atlas-based quantification of cardiac remodeling due to myocardial infarction

PloS one, 2014-10, Vol.9 (10), p.e110243-e110243

2014

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Computational cardiac atlases: from patient to population and back

Experimental physiology, 2009-05, Vol.94 (5), p.578-596

2009

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Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks

Journal of cardiovascular magnetic resonance, 2023-03, Vol.25 (1), p.16-17, Article 16

2023

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Ex vivo cardiovascular magnetic resonance diffusion weighted imaging in congenital heart disease, an insight into the microstructures of tetralogy of Fallot, biventricular and univentricular systemic right ventricle

Journal of cardiovascular magnetic resonance, 2020-09, Vol.22 (1), p.69-69, Article 69

2020

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A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot

Journal of cardiovascular magnetic resonance, 2023-02, Vol.25 (1), p.15-15, Article 15

2023

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Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping

Scientific reports, 2023-05, Vol.13 (1), p.8118-8118, Article 8118

2023

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Right-left ventricular shape variations in tetralogy of Fallot: associations with pulmonary regurgitation

Journal of cardiovascular magnetic resonance, 2021-10, Vol.23 (1), p.105-105, Article 105

2021

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Publisher Correction: Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping

Scientific reports, 2023-08, Vol.13 (1), p.13597-13597, Article 13597

2023

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Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy

Frontiers in cardiovascular medicine, 2020-06, Vol.7, p.102-102

2020

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WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRI

Frontiers in cardiovascular medicine, 2022-01, Vol.8, p.769927-769927

2022

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Editorial: Current and future role of artificial intelligence in cardiac imaging, volume II

Frontiers in cardiovascular medicine, 2023-06, Vol.10, p.1220836-1220836

2023

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Le Cœur en Sabot: shape associations with adverse events in repaired tetralogy of Fallot

Journal of cardiovascular magnetic resonance, 2022-08, Vol.24 (1), p.46-46

2022

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Impaired subendocardial contractile myofiber function in asymptomatic aged humans, as detected using MRI

American journal of physiology. Heart and circulatory physiology, 2006-10, Vol.291 (4), p.H1573-H1579

2006

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Editorial: Current and Future Role of Artificial Intelligence in Cardiac Imaging

Frontiers in cardiovascular medicine, 2020-08, Vol.7, p.137-137

2020

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Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease

Journal of cardiovascular translational research, 2018-04, Vol.11 (2), p.123-132

2018

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Applications and comparisons of four time series models in epidemiological surveillance data

Machine learning in cardiovascular magnetic resonance: basic concepts and applications

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

Comparative study of four time series methods in forecasting typhoid fever incidence in China

Evaluation of left ventricular torsion by cardiovascular magnetic resonance

An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline

Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours

Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank

Biventricular shape modes discriminate pulmonary valve replacement in tetralogy of Fallot better than imaging indices

Four-dimensional flow cardiovascular magnetic resonance in tetralogy of Fallot: a systematic review

Atlas-based quantification of cardiac remodeling due to myocardial infarction

Computational cardiac atlases: from patient to population and back

Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks

Ex vivo cardiovascular magnetic resonance diffusion weighted imaging in congenital heart disease, an insight into the microstructures of tetralogy of Fallot, biventricular and univentricular systemic right ventricle

A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot

Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping

Right-left ventricular shape variations in tetralogy of Fallot: associations with pulmonary regurgitation

Publisher Correction: Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping

Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy

WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRI

Editorial: Current and future role of artificial intelligence in cardiac imaging, volume II

Le Cœur en Sabot: shape associations with adverse events in repaired tetralogy of Fallot

Impaired subendocardial contractile myofiber function in asymptomatic aged humans, as detected using MRI

Editorial: Current and Future Role of Artificial Intelligence in Cardiac Imaging

Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease

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