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Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Camara, Oscar"

Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Camara, Oscar"

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  • A computational model of the fetal circulation to quantify blood redistribution in intrauterine growth restriction
    García Cañadilla, Patricia, 1985-; Rudenick, Paula A.; Crispi Brillas, Fàtima; Cruz-Lemini, Mónica; Palau, Georgina; Camara, Oscar; Gratacós Solsona, Eduard; Bijnens, Bart (Public Library of Science, 2014)
    Intrauterine growth restriction (IUGR) due to placental insufficiency is associated with blood flow redistribution in order to/nmaintain delivery of oxygenated blood to the brain. Given that, in the fetus the aortic isthmus ...
  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
    Xiong, Zhaohan; Xia, Qing; Hu, Zhiqiang; Huang, Ning; Bian, Cheng; Zheng, Yefeng; Vesal, Sulaiman; Ravikumar, Nishant; Maier, Andreas; Yang, Xin; Heng, Pheng-Ann; Ni, Dong; Li, Caizi; Tong, Qianqian; Si, Weixin; Puybareau, Elodie; Khoudli, Younes; Géraud, Thierry; Chen, Chen; Bai, Wenjia; Rueckert, Daniel; Xu, Lingchao; Zhuang, Xiahai; Luo, Xinzhe; Jia, Shuman; Sermesant, Maxime; Liu, Yashu; Wang, Kuanquan; Borra, Davide; Masci, Alessandro; Corsi, Cristiana; Vente, Coen de; Veta, Mitko; Karim, Rashed; Jayachandran Preetha, Chandrakanth; Engelhardt, Sandy; Qiao, Menyun; Wang, Yuanyuan; Tao, Qian; Nuñez-Garcia, Marta; Camara, Oscar; Savioli, Nicolo; Lamata, Pablo; Zhao, Jichao (Elsevier, 2021)
    Segmentation of medical images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first step for ablation treatment of atrial fibrillation. ...
  • 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 two dimensional electromechanical model of a cardiomyocyte to assess intra-cellular regional mechanical heterogeneities
    Garcia Canadilla, Patricia; Rodriguez, Jose F.; Palazzi, Maria J.; Gonzalez-Tendero, Anna; Schönleitner, Patrick; Balicevic, Vedrana; Loncaric, Sven; Luiken, Joost J. F. P.; Ceresa, Mario; Camara, Oscar; Antoons, Gudrun; Crispi Brillas, Fàtima; Gratacós Solsona, Eduard; Bijnens, Bart (Public Library of Science (PLoS), 2017)
    Experimental studies on isolated cardiomyocytes from different animal species and human hearts have demonstrated that there are regional differences in the Ca2+ release, Ca2+ decay and sarcomere deformation. Local deformation ...
  • 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 ...
  • Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
    Cetin, Irem; Stephens, Maialen; Camara, Oscar; González Ballester, Miguel Ángel, 1973- (Elsevier, 2023)
    Deep learning (DL) methods where interpretability is intrinsically considered as part of the model are required to better understand the relationship of clinical and imaging-based attributes with DL outcomes, thus facilitating ...
  • Automatic activation mapping and origin identification of idiopathic outflow tract ventricular arrhythmias
    Alcaine, Alejandro; Soto-Iglesias, David; Acosta, Juan Carlos; Korshunov, Viatcheslav; Penela, Diego; Martínez, Mikel; Linhart, Markus; Andreu Martínez, David; Fernández-Armenta, Juan; Laguna, Pablo; Martínez, Juan Pablo; Camara, Oscar; Berruezo Sánchez, Antonio (Elsevier, 2018)
    Purpose: Activation mapping is used to guide ablation of idiopathic outflow tract ventricular arrhythmias (OTVAs). Isochronal activation maps help to predict the site of origin (SOO): left vs right outflow tract (OT). We ...
  • Automatic detection of slow conducting channels during substrate ablation of scar-related ventricular arrhythmias
    Alcaine, Alejandro; Jáuregui, Beatriz; Soto-Iglesias, David; Acosta, Juan Carlos; Penela, Diego; Fernández-Armenta, Juan; Linhart, Markus; Andreu Martínez, David; Mont, Lluís; Laguna, Pablo; Camara, Oscar; Martínez, Juan Pablo; Berruezo Sánchez, Antonio (Hindawi, 2020)
    Background. Voltage mapping allows identifying the arrhythmogenic substrate during scar-related ventricular arrhythmia (VA) ablation procedures. Slow conducting channels (SCCs), defined by the presence of electrogram (EGM) ...
  • 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 ...
  • Breaking the state of the heart: meshless model for cardiac mechanics
    Lluch Alvarez, Èric; Craene, Mathieu de; Bijnens, Bart; Sermesant, Maxime; Noailly, Jérôme; Camara, Oscar; Morales, Hernán G. (Springer, 2019)
    Cardiac modeling has recently emerged as a promising tool to study pathophysiology mechanisms and to predict treatment outcomes for personalized clinical decision support. Nevertheless, achieving convergence under large ...
  • 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 ...
  • Computational pipeline for the generation and validation of patient-specific mechanical models of brain development
    Alenyà, Mireia; Wang, Xiaoyu; Lefèvre, Julien; Auzias, Guillaume; Fouquet, Benjamin; Eixarch, Elisenda; Rousseau, François; Camara, Oscar (Elsevier, 2022)
    The human brain develops from a smooth cortical surface in early stages of fetal life to a convoluted one postnatally, creating an organized ensemble of folds. Abnormal folding patterns are linked to neurodevelopmental ...
  • Deep learning framework for real-time estimation of in-silico thrombotic risk indices in the left atrial appendage
    Morales Ferez, Xabier; Mill, Jordi; Juhl, Kristine Aavild; Acebes Pinilla, César; Iriart, Xavier; Legghe, Benoit; Cochet, Hubert; De Backer, Ole; Paulsen, Rasmus R.; Camara, Oscar (Frontiers, 2021)
    Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation ...
  • Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
    Bernard, Olivier; Lalande, Alain; Zotti, Clement; Cervenansky, Frederick; Yang, Xin; Heng, Pheng-Ann; Cetin, Irem; Lekadir, Karim, 1977-; Camara, Oscar; González Ballester, Miguel Ángel, 1973-; Sanromà, Gerard; Napel, Sandy; Petersen, Steffen; Tziritas, Georgios; Grinias, Elias; Khened, Mahendra; Kollerathu, Varghese Alex; Krishnamurthi, Ganapathy; Rohé, Marc-Michel; Pennec, Xavier; Sermesant, Maxime; Isensee, Fabian; Jäger, Paul; Maier-Hein, Klaus H.; Full, Peter M.; Wolf, Ivo; Engelhardt, Sandy; Baumgartner, Christian F.; Koch, Lisa M.; Wolterink, Jelmer M.; Išgum, Ivana; Jang, Yeonggul; Hong, Yoonmi; Patravali, Jay; Jain, Shubham; Humbert, Olivier; Jodoin, Pierre-Marc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding ...
  • Delineation of the electrocardiogram with a mixed-quality-annotations dataset using convolutional neural networks
    Jimenez-Perez, Guillermo; Alcaine, Alejandro; Camara, Oscar (Nature Research, 2021)
    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) algorithms are ...
  • Detection of lesions in the optic nerve with magnetic resonance imaging using a 3D convolutional neural network
    Martí Juan, Gerard; Frías Nestares, Marcos; Garcia Vidal, Aran; Vidal Jordana, Angela; Alberich, Manel; Calderon, Willem; Piella Fenoy, Gemma; Camara, Oscar; Montalban, Xavier; Sastre-Garriga, Jaume; Rovira, Àlex; Pareto, Deborah (Elsevier, 2022)
    Background: Optic neuritis (ON) is one of the first manifestations of multiple sclerosis, a disabling disease with rising prevalence. Detecting optic nerve lesions could be a relevant diagnostic marker in patients with ...
  • Dielectric properties of colon polyps, cancer, and normal mucosa: Ex vivo measurements from 0.5 to 20 GHz
    Guardiola, Marta; Buitrago, Santiago; Fernández-Esparrach, Gloria; O’Callaghan, Joan M.; Romeu, Jordi; Cuatrecasas, Miriam; Córdova, Henry; González Ballester, Miguel Ángel, 1973-; Camara, Oscar (American Association of Physicists in Medicine (AAPM), 2018)
    Purpose: Colorectal cancer is highly preventable by detecting and removing polyps, which are the precursors. Currently, the most accurate test is colonoscopy, but still misses 22% of polyps due to visualization limitations. ...
  • Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions
    Mill, Jordi; Montoliu, Helena; Moustafa, Abdel-Hakim; Olivares, Andy L.; Albors, Carlos; Aguado, Ainhoa M.; Medina, Elodie; Ceresa, Mario; Freixa, Xavier; Arzamendi, Dabit; Cochet, Hubert; Camara, Oscar (Whioce, 2023)
    Advanced visual computing solutions and three-dimensional (3D) printing are moving from engineering to clinical pipelines for training, planning, and guidance of complex interventions. 3D imaging and rendering, virtual ...
  • 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). ...

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