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Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins

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  1. Article

    Open Access

    The role of the pulmonary veins on left atrial flow patterns and thrombus formation

    Atrial fibrillation (AF) is the most common human arrhythmia, forming thrombi mostly in the left atrial appendage (LAA). However, the relation between LAA morphology, blood patterns and clot formation is not y...

    Jordi Mill, Josquin Harrison, Marta Saiz-Vivo, Carlos Albors in Scientific Reports (2024)

  2. Article

    Open Access

    Delineation of the electrocardiogram with a mixed-quality-annotations dataset using convolutional neural networks

    Detection and delineation are key steps for retrieving and structuring information of the electrocardiogram (ECG), being thus crucial for numerous tasks in clinical practice. Digital signal processing (DSP) al...

    Guillermo Jimenez-Perez, Alejandro Alcaine, Oscar Camara in Scientific Reports (2021)

  3. Article

    Open Access

    The reproducibility of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study

    Cardiovascular magnetic resonance (CMR) imaging has been used to visualise post-ablation atrial scar (PAAS), generally employing a three-dimensional (3D) late gadolinium enhancement (LGE) technique. However th...

    Henry Chubb, Rashed Karim, Sébastien Roujol in Journal of Cardiovascular Magnetic Resonan… (2018)

  4. Article

    Open Access

    Standardized unfold map**: a technique to permit left atrial regional data display and analysis

    Left atrial arrhythmia substrate assessment can involve multiple imaging and electrical modalities, but visual analysis of data on 3D surfaces is time-consuming and suffers from limited reproducibility. Unfold...

    Steven E. Williams, Catalina Tobon-Gomez in Journal of Interventional Cardiac Electrop… (2017)

  5. Article

    Open Access

    Standardised unfold map of the left atrium: regional definition for multimodal image analysis

    Catalina Tobon-Gomez, Maria A Zuluaga in Journal of Cardiovascular Magnetic Resonan… (2015)

  6. Chapter and Conference Paper

    Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images

    This paper presents a new diffeomorphic temporal registration algorithm and its application to motion and strain quantification from a temporal sequence of 3D images. The displacement field is computed by forw...

    Mathieu De Craene, Gemma Piella in Medical Image Computing and Computer-Assis… (2010)

  7. Chapter and Conference Paper

    Towards Regional Elastography of Intracranial Aneurysms

    Weak spots in the aneurysm could be identified estimating the regional stiffness of the wall. Our approach consists in defining a parametric biomechanical model of the vessel which, given the patient’s vascula...

    Simone Balocco, Oscar Camara in Medical Image Computing and Computer-Assis… (2008)

  8. Chapter and Conference Paper

    Methods for Inverting Dense Displacement Fields: Evaluation in Brain Image Registration

    In medical image analysis there is frequently a need to invert dense displacement fields which map one image space to another. In this paper we describe inversion techniques and determine their accuracy in the...

    William R. Crum, Oscar Camara in Medical Image Computing and Computer-Assis… (2007)

  9. Chapter and Conference Paper

    Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data

    The main goal of this work was to assess the accuracy of several well-known methods which provide global (BSI and SIENA) or local (Jacobian integration) estimates of longitudinal atrophy in brain structures us...

    Oscar Camara, Rachael I. Scahill in Medical Image Computing and Computer-Assis… (2007)

  10. Chapter and Conference Paper

    Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation

    Effective validation techniques are an essential pre-requisite for segmentation and non-rigid registration techniques to enter clinical use. These algorithms can be evaluated by calculating the overlap of corr...

    William R. Crum, Oscar Camara in Medical Image Computing and Computer-Assis… (2005)

  11. Chapter and Conference Paper

    CT and PET Registration Using Deformations Incorporating Tumor-Based Constraints

    Registration of CT and PET thoracic images has to cope with deformations of the lungs during breathing. Possible tumors in the lungs usually do not follow the same deformations, and this should be taken into a...

    Antonio Moreno, Gaspar Delso, Oscar Camara in Progress in Pattern Recognition, Image Ana… (2005)