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07/20/2023
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction
Myocardial infarction (MI) is one of the most common causes of death in ...
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07/20/2023
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
Global single-valued biomarkers of cardiac function typically used in cl...
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07/17/2023
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
Cine magnetic resonance imaging (MRI) is the current gold standard for t...
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07/14/2023
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks
Myocardial infarction (MI) is one of the most prevalent cardiovascular d...
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07/10/2023
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Myocardial infarction (MI) demands precise and swift diagnosis. Cardiac ...
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04/04/2023
Influence of Myocardial Infarction on QRS Properties: A Simulation Study
The interplay between structural and electrical changes in the heart aft...
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08/26/2022
Multi-Modality Cardiac Image Computing: A Survey
Multi-modality cardiac imaging plays a key role in the management of pat...
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08/08/2022
Deep Computational Model for the Inference of Ventricular Activation Properties
Patient-specific cardiac computational models are essential for the effi...
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03/02/2020
A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents
Contrast-enhanced computed tomography angiograms (CTAs) are widely used ...
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02/09/2020
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent
Existing methods to reconstruct vascular structures from a computed tomo...
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09/16/2019
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images
The human lung is a complex respiratory organ, consisting of five distin...
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05/26/2017
