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Visualitza Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per autoria

Visualitza Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per autoria "Camara, Oscar"

Ara mostrant els elements 1-12 de 12

A Monte Carlo tree search approach to learning decision trees

Nunes, Cecília; Craene, Mathieu de; Langet, Hélène; Camara, Oscar; Jonsson, Anders, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2019)

Decision trees (DTs) are a widely used prediction tool, owing to their interpretability. Standard learning methods follow a locally-optimal approach that trades off prediction performance for computational efficiency. Such ...
A Rule-Based method to model myocardial fiber orientation for simulating ventricular outflow tract arrhythmias

Doste Beltrán, Rubén; Soto-Iglesias, David; Bernardino Perez, Gabriel; Sebastián Aguilar, Rafael, 1978-; Giffard-Roisin, Sophie; Cabrera-Lozoya, Rocío; Sermesant, Maxime; Berruezo Sánchez, Antonio; Sánchez-Quintana, Damián; Camara, Oscar (Springer, 2017)

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 anatomi- cal models are ...
A web-based tool for cardiac dyssynchrony assessment on ultrasound data

Pezzatini, Daniele; Yagüe, Carlos; Rudenick, Paula A.; Blat, Josep; Bijnens, Bart; Camara, Oscar (Eurographics Association, 2017)

Cardiac resynchronization therapy (CRT) is a broadly used therapy in patients that suffers from heart failure (HF). The positive outcome of CRT depends strongly on the parameters criteria used to select patients and a lot ...
Benchmark of deep learning algorithms for the automatic screening in electrocardiograms transmitted by implantable cardiac devices

Gassa, Narimane; Sacristan, Benjamin; Zemzemi, Nejib; Laborde, Maxime; Garrido Oliver, Juan; Matencio Perabla, Clara; Jimenez-Perez, Guillermo; Camara, Oscar; Ploux, Sylvain; Strik, Marc; Bordachar, Pierre; Dubois, Remi (Institute of Electrical and Electronics Engineers (IEEE), 2021)

The objective of this work was to benchmark different deep learning architectures for noise detection against cardiac arrhythmia episodes recorded by pacemakers and implantable cardioverter-defibrillators (PM/ICDs) and ...
Computational modelling of the cardiovascular system for the non-invasive diagnosis of portal hypertension

Villanueva, M. Inmaculada; García Cañadilla, Patricia, 1985-; Camara, Oscar; Garcia-Criado, Angeles; Campreciós, Genís; Perez-Campuzano, Valeria; Hernandez-Gea, Virgina; Turon, Fanny; Baiges Aznar, Anna; Lopez Sainz, Angela; García-Pagan, Juan Carlos; Bijnens, Bart; Bernardino Perez, Gabriel (Springer, 2023)

Cirrhosis is a prevalent chronic liver disease that causes scarring of the liver, leading to altered mechanics and impaired function. One of its most severe complications is portal hypertension, characterised by an increase ...
Early prediction of Alzheimer's disease with non-local patch-based longitudinal descriptors

Sanromà, Gerard; Andrea, Víctor; Benkarim, Oualid M.; Manjón, José V.; Coupé, Pierrick; Camara, Oscar; Piella Fenoy, Gemma; González Ballester, Miguel Ángel, 1973- (Springer, 2017)

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 images (MRI). ...
Geometric deep learning for the assessment of thrombosis risk in the left atrial appendage

Morales, Xabier; Mill, Jordi; Simeon, Guillem; Juhl, Kristine Aavild; De Backer, Ole; Paulsen, Rasmus R.; Camara, Oscar (Springer, 2021)

The assessment of left atrial appendage (LAA) thrombogenesis has experienced major advances with the adoption of patient-specific computational fluid dynamics (CFD) simulations. Nonetheless, due to the vast computational ...
In-silico analysis of device-related thrombosis for different left atrial appendage occluder settings

Planas, Eric; Mill, Jordi; Olivares, Andy L.; Morales, Xabier; Pons Vidal, Maria Isabel; Iriart, Xavier; Cochet, Hubert; Camara, Oscar (Springer, 2021)

Atrial fibrillation (AF) is one of the most common cardiac arrhythmias and is associated to an increasing risk of stroke. Most AF- related strokes are formed in the left atrial appendage (LAA). To prevent thrombus ...
In-silico analysis of the influence of pulmonary vein configuration on left atrial haemodynamics and thrombus formation in a large cohort

Mill, Jordi; Harrison, Josquin; Legghe, Benoit; Olivares, Andy L.; Morales, Xabier; Noailly, Jérôme; Iriart, Xavier; Cochet, Hubert; Sermesant, Maxime; Camara, Oscar (Springer, 2021)

Atrial fibrillation (AF) is considered the most common human arrhythmia. Around 99% of thrombi in non-valvular AF are formed in the left atrial appendage (LAA). Studies suggest that abnormal LAA haemodynamics and the ...
Shape analysis and computational fluid simulations to assess feline left atrial function and thrombogenesis

Olivares, Andy L.; Pons Vidal, Maria Isabel; Mill, Jordi; Novo Matos, Jose; Garcia-Canadilla, Patricia; Cerrada, Inma; Guy, Anna; Hutchinson, John Ciaran; Simcock, Ian C.; Arthurs, Owen J.; Cook, Andrew C.; Luis Fuentes, Virginia; Camara, Oscar (Springer, 2021)

In humans, there is a well-established relationship between atrial fibrillation (AF), blood flow abnormalities and thrombus formation, even if there is no clear consensus on the role of left atrial appendage (LAA) morphologies. ...
Smoothed particle hydrodynamics for electrophysiological modeling: an alternative to finite element methods

Lluch Alvarez, Èric; Doste Beltrán, Rubén; Giffard-Roisin, Sophie; This, Alexandre; Sermesant, Maxime; Camara, Oscar; Craene, Mathieu de; Morales, Hernán G. (Springer, 2017)

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 complex geometries. ...
Standard quasi-conformal flattening of the right and left atria

Nuñez-Garcia, Marta; Bernardino Perez, Gabriel; Doste Beltrán, Rubén; Zhao, Jichao; Camara, Oscar; Butakoff, Constantine (Springer, 2019)

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 visualizations that ...