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    Chapter and Conference Paper

    Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies

    The task of 3D shape classification is closely related to finding a good representation of the shapes. In this study, we focus on surface representations of complex anatomies and on how such representations ca...

    Kristine Aavild Juhl, Xabier Morales in Medical Image Computing and Computer Assis… (2021)

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    Chapter and Conference Paper

    Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets

    The use of mechanistic models in clinical studies is limited by the lack of multi-modal patients data representing different anatomical and physiological processes. For example, neuroimaging datasets do not pr...

    Jaume Banus, Maxime Sermesant, Oscar Camara in Medical Image Computing and Computer Assis… (2020)

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    Chapter and Conference Paper

    Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage

    Recently, the risk of thrombus formation in the left atrium (LA) has been assessed through patient-specific computational fluid dynamic (CFD) simulations, characterizing the complex 4D nature of blood flow in ...

    Xabier Morales, Jordi Mill, Kristine A. Juhl in Statistical Atlases and Computational Mode… (2020)

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    Chapter and Conference Paper

    Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

    The generation of kinematic models of the heart using 3D echocardiography (echo) can be difficult due to poor image contrast and signal dropout, particularly at the epicardial surface. 2D echo images generally...

    Vera H. J. van Hal, Debbie Zhao in Statistical Atlases and Computational Mode… (2020)

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    Chapter and Conference Paper

    Best (and Worst) Practices for Organizing a Challenge on Cardiac Biophysical Models During AI Summer: The CRT-EPiggy19 Challenge

    During the last years tens of challenges have been organized to benchmark computational techniques with shared data. Historically, most challenges in conferences such as MICCAI have been devoted to medical ima...

    Oscar Camara in Statistical Atlases and Computational Mode… (2020)

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    Chapter and Conference Paper

    Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection

    Segmentation of the left atria (LA) from late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is challenging since atrial borders are not easily distinguishable in the images. We propose a method base...

    Marta Nuñez-Garcia, **ahai Zhuang in Statistical Atlases and Computational Mode… (2019)

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    Chapter and Conference Paper

    Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions

    Cerebrovascular diseases have been associated with a variety of hea...

    Jaume Banus, Marco Lorenzi, Oscar Camara in Functional Imaging and Modeling of the Hea… (2019)

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    Chapter and Conference Paper

    Standard Quasi-Conformal Flattening of the Right and Left Atria

    Two-dimensional standard representations of 3D anatomical structures are a simple and intuitive way for analysing patient information across populations and image modalities. They also allow convenient visuali...

    Marta Nuñez-Garcia, Gabriel Bernardino in Functional Imaging and Modeling of the Hea… (2019)

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    Chapter and Conference Paper

    Centreline-Based Shape Descriptors of the Left Atrial Appendage in Relation with Thrombus Formation

    The majority of thrombi in non-valvular atrial fibrillation (AF) patients are formed in the left atrial appendage (LAA). The shape of the LAA is highly variable and complex morphologies seem to favour the deve...

    Ibai Genua, Andy L. Olivares, Etelvino Silva in Statistical Atlases and Computational Mode… (2019)

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    Chapter and Conference Paper

    Joint Analysis of Personalized In-Silico Haemodynamics and Shape Descriptors of the Left Atrial Appendage

    The left atrial appendage (LAA) is a complex and heterogeneous bulge structure of the left atrium (LA). It is known that, in atrial fibrillation (AF) patients, around 70% to 90% of the thrombi are formed ther...

    Jordi Mill, Andy L. Olivares, Etelvino Silva in Statistical Atlases and Computational Mode… (2019)

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    Chapter and Conference Paper

    Statistical Shape Clustering of Left Atrial Appendages

    Fifteen percent of all strokes are caused by emboli formed in the left atrium (LA) in case of atrial fibrillation (AF). The most common site of thrombus formation is inside the left atrial appendage (LAA). The...

    Jakob M. Slipsager, Kristine A. Juhl in Statistical Atlases and Computational Mode… (2019)

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    Chapter and Conference Paper

    A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

    Computer-aided diagnosis of cardiovascular diseases (CVDs) with cine-MRI is an important research topic to enable improved stratification of CVD patients. However, current approaches that use expert visualizat...

    Irem Cetin, Gerard Sanroma in Statistical Atlases and Computational Mode… (2018)

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    Chapter and Conference Paper

    Estimation of Local Conduction Velocity from Myocardium Activation Time: Application to Cardiac Resynchronization Therapy

    As models of cardiac electrophysiology (EP) are maturing, an increasing effort is being put in their translation to the bed side, in particular for abnormal cardiac rhythm diagnosis and therapy planning. Howev...

    Thomas Pheiffer, David Soto-Iglesias in Functional Imaging and Modelling of the He… (2017)

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    Chapter and Conference Paper

    A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias

    Myocardial fiber orientation determines the propagation of electrical waves in the heart and the contraction of cardiac tissue. One common approach for assigning fiber orientation to cardiac anatomical models ...

    Rubén Doste, David Soto-Iglesias in Functional Imaging and Modelling of the He… (2017)

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    Chapter and Conference Paper

    In Silico Analysis of Haemodynamics in Patient-Specific Left Atria with Different Appendage Morphologies

    The influence of the left atrial appendage (LAA) and its different possible morphologies in atrial haemodynamics and thrombus formation is not fully known yet. The main goal of this work is to analyse blood fl...

    Andy L. Olivares, Etelvino Silva in Functional Imaging and Modelling of the He… (2017)

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    Chapter and Conference Paper

    Early Prediction of Alzheimer’s Disease with Non-local Patch-Based Longitudinal Descriptors

    Alzheimer’s disease (AD) is characterized by a progressive decline in the cognitive functions accompanied by an atrophic process which can already be observed in the early stages using magnetic resonance image...

    Gerard Sanroma, Víctor Andrea in Patch-Based Techniques in Medical Imaging (2017)

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    Chapter and Conference Paper

    Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods

    Finite element methods (FEM) are generally used in cardiac 3D-electromechanical modeling. For FEM modeling, a step of a suitable mesh construction is required, which is non-trivial and time-consuming for compl...

    Èric Lluch, Rubén Doste in Functional Imaging and Modelling of the He… (2017)

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    Book and Conference Proceedings

    Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

    4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers

    Oscar Camara, Tommaso Mansi in Lecture Notes in Computer Science (2014)

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    Chapter and Conference Paper

    Estimation of Electrical Pathways Finding Minimal Cost Paths from Electro-Anatomical Map** of the Left Ventricle

    The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, electro-anatom...

    Rubén Cárdenes, Rafael Sebastian in Statistical Atlases and Computational Mode… (2014)

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    Chapter and Conference Paper

    Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study

    In this paper, we propose to estimate myocardial acceleration using a temporal diffeomorphic free-form deformation (TDFFD) algorithm. The use of TDFFD has the advantage of providing B-spline parameterized velo...

    Ali Pashaei, Gemma Piella, Nicolas Duchateau in Statistical Atlases and Computational Mode… (2014)

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