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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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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 49

2012

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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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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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A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images

Medical image analysis, 2014-01, Vol.18 (1), p.50-62

2014

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Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

Journal of cardiovascular magnetic resonance, 2013-05, Vol.15 (1), p.46-46, Article 46

2013

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UK Biobank's cardiovascular magnetic resonance protocol

Journal of cardiovascular magnetic resonance, 2016-02, Vol.18 (8), p.8-8, Article 8

2016

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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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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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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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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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Computational cardiac atlases: from patient to population and back

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

2009

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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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Myocardial mesostructure and mesofunction

American journal of physiology. Heart and circulatory physiology, 2022-08, Vol.323 (2), p.H257-H275

2022

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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.16-16, Article 16

2023

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Left ventricular shape variation in asymptomatic populations: the Multi-Ethnic Study of Atherosclerosis

Journal of cardiovascular magnetic resonance, 2014-07, Vol.16 (1), p.56-56, Article 56

2014

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

Interface focus, 2016-04, Vol.6 (2), p.20150083-20150083

2016

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Combining generative modelling and semi-supervised domain adaptation for whole heart cardiovascular magnetic resonance angiography segmentation

Journal of cardiovascular magnetic resonance, 2023-12, Vol.25 (1), p.80-80, Article 80

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

Machine learning in cardiovascular magnetic resonance: basic concepts and applications

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

Evaluation of left ventricular torsion by cardiovascular magnetic resonance

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

Atlas-based quantification of cardiac remodeling due to myocardial infarction

A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

UK Biobank's cardiovascular magnetic resonance protocol

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

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

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

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

Computational cardiac atlases: from patient to population and back

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

Myocardial mesostructure and mesofunction

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

Left ventricular shape variation in asymptomatic populations: the Multi-Ethnic Study of Atherosclerosis

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

Combining generative modelling and semi-supervised domain adaptation for whole heart cardiovascular magnetic resonance angiography segmentation

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

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

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

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

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