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01/30/2023
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy
Two key questions in cardiac image analysis are to assess the anatomy an...
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11/01/2022
Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta
Numerical simulations of blood flow are a valuable tool to investigate t...
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09/05/2022
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning
3D motion estimation from cine cardiac magnetic resonance (CMR) images i...
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07/29/2022
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI
Recovering the 3D motion of the heart from cine cardiac magnetic resonan...
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09/26/2021
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
Deterministic approaches using iterative optimisation have been historic...
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07/16/2021
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
Optimising the analysis of cardiac structure and function requires accur...
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05/25/2021
Learning a Model-Driven Variational Network for Deformable Image Registration
Data-driven deep learning approaches to image registration can be less a...
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10/07/2019
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network
In this work, a novel approach is proposed for joint analysis of high di...
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07/19/2019
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction
In this work, we propose a deep learning approach for parallel magnetic ...
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06/28/2019
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling
Quantification of anatomical shape changes still relies on scalar global...
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02/28/2019
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders
Accurate segmentation of heart structures imaged by cardiac MR is key fo...
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10/08/2018
Deep learning cardiac motion analysis for human survival prediction
Motion analysis is used in computer vision to understand the behaviour o...
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08/26/2018
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach
Deep learning approaches have achieved state-of-the-art performance in c...
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07/27/2018
