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A Domain Translation Framework With an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images

IEEE access, 2023, Vol.11, p.17594-17602

2023

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How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function

The Journal of thoracic and cardiovascular surgery, 2017-02, Vol.153 (2), p.418-427

2017

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A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN

IEEE access, 2022, Vol.10, p.98803-98815

2022

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Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes

The Annals of thoracic surgery, 2017-02, Vol.103 (2), p.645-654

2017

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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

1st Edition 2019, 2019

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Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis: First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

1st Edition 2019, 2019

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

1st Edition 2017, 2017

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Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation

IEEE transactions on medical imaging, 2021-10, Vol.40 (10), p.2783-2794

2021

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Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics

IEEE transactions on medical imaging, 2015-07, Vol.34 (7), p.1562-1575

2015

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Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

IEEE transactions on biomedical engineering, 2018-12, Vol.65 (12), p.2769-2780

2018

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

IEEE transactions on biomedical engineering, 2017-10, Vol.64 (10), p.2373-2383

2017

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User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing

IEEE journal of biomedical and health informatics, 2021-06, Vol.25 (6), p.2113-2124

2021

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Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Medical image analysis, 2013-08, Vol.17 (6), p.632-648

2013

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Statistical analysis of ventricular shape of ARVC patients and correlation with clinical diagnostic indices

Journal of cardiovascular magnetic resonance, 2015-02, Vol.17 (S1), Article P283

2015

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New insights in ventriculo-arterial coupling and ventricular shape in repaired tetralogy of Fallot: a retrospective cohort study

Journal of cardiovascular magnetic resonance, 2016-01, Vol.18 (422), Article O118

2016

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Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters

Functional Imaging and Modelling of the Heart, p.51-59

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A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta

BMC medical imaging, 2016-05, Vol.16 (1), p.40-40, Article 40

2016

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Ventricular structure in ARVC: going beyond volumes as a measure of risk

Journal of cardiovascular magnetic resonance, 2016-10, Vol.18 (1), p.73-73, Article 73

2016

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Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, p.29-37

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Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images

Medical image analysis, 2014-01, Vol.18 (1), p.63-82

2014

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From CMR Image to Patient-Specific Simulation and Population-Based Analysis: Tutorial for an Openly Available Image-Processing Pipeline

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, p.106-117

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CMR-based 3D statistical shape modelling reveals left ventricular morphological differences between healthy controls and arterial switch operation survivors

Journal of cardiovascular magnetic resonance, 2016-01, Vol.18 (422), Article Q2

2016

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An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, p.55-67

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Corrigendum to “Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images” [Med. Image Anal. 18 (2014) 63–82]

Medical image analysis, 2014-02, Vol.18 (2), p.433-433

2014

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The 'Digital Twin' to enable the vision of precision cardiology

A Domain Translation Framework With an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images

How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function

A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN

Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis: First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation

Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics

Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

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

User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Statistical analysis of ventricular shape of ARVC patients and correlation with clinical diagnostic indices

New insights in ventriculo-arterial coupling and ventricular shape in repaired tetralogy of Fallot: a retrospective cohort study

Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters

A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta

Ventricular structure in ARVC: going beyond volumes as a measure of risk

Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach

Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images

From CMR Image to Patient-Specific Simulation and Population-Based Analysis: Tutorial for an Openly Available Image-Processing Pipeline

CMR-based 3D statistical shape modelling reveals left ventricular morphological differences between healthy controls and arterial switch operation survivors

An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue

Corrigendum to “Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images” [Med. Image Anal. 18 (2014) 63–82]

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