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Browsing Articles (Departament de Tecnologies de la Informació i les Comunicacions) by Subject "Echocardiography"

Browsing Articles (Departament de Tecnologies de la Informació i les Comunicacions) by Subject "Echocardiography"

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  • Balicevic, Vedrana; Kalinić, Hrvoje; Loncaric, Sven; Cikes, Maja; Bijnens, Bart (Elsevier, 2018)
    Echocardiography is the leading imaging modality for cardiac disorders in clinical practice. During an echocardiographic exam, geometry and blood flow are quantified in order to assess cardiac function. In clinical practice, ...
  • Gabrielli, Luigi; Bijnens, Bart; Butakoff, Constantine; Duchateau, Nicolas; Montserrat, Silvia; Merino, Beatriz; Gutierrez, Josep Antoni; Paré, Carles; Mont, Lluís; Brugada, Josep; Sitges, Marta (Springer, 2014)
    Purpose Highly trained athletes have an increased risk of atrial arrhythmias. Atrial geometrical and functional remodeling may be the underlying substrate. We analyze and relate atrial size, deformation and performance ...
  • Sánchez Martínez, Sergio; Duchateau, Nicolas; Erdei, Tamas; Fraser, Alan G.; Bijnens, Bart; Piella Fenoy, Gemma (Elsevier, 2017)
    We propose an independent objective method to characterize different patterns of functional responses to stress in the heart failure with preserved ejection fraction (HFPEF) syndrome by combining multiple temporally-aligned ...
  • Rodriguez López, Mérida; Cruz-Lemini, Mónica; Valenzuela Alcaraz, Brenda; Garcia‐Otero, Laura; Sitges, Marta; Bijnens, Bart; Gratacós Solsona, Eduard; Crispi Brillas, Fàtima (Wiley, 2017)
    Objective: To identify the presence of different cardiac phenotypes among FGR. Study Design: Fetal echocardiography was performed in 126 FGR (defined as birth weight <10th centile) and 64 adequate for gestational age (AGA). ...
  • Bijnens, Bart; Porras Pérez, Antonio Reyes; Alessandrini, Martino; Craene, Mathieu de; Duchateau, Nicolas; Sitges, Marta; Delingette, Hervé; Sermesant, Maxime; D'hooge, Jan; Frangi Caregnato, Alejandro; Piella Fenoy, Gemma (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    We propose a technique for myocardial motion estimation based on image registration using both B-mode echocardiographic images and tissue Doppler sequences acquired interleaved. The velocity field is modeled continuously ...
  • Krämer, Johannes Harald; Bijnens, Bart; Stork, Stefan; Ritter, Christian Oliver Liver; Liu, Dan; Ertl, George; Wanner, Christoph; Weidemann, Frank (Public Library of Science (PLoS), 2015)
    In spite of several research studies help to describe the heart in Fabry disease (FD), the cardiomyopathy is not entirely understood. In addition, the impact of blood pressure and alterations in geometry have not been ...
  • Sanchez Martinez, Sergio; Duchateau, Nicolas; Erdei, Tamas; Kunszt, Gabor; Aakhus, Svend; Degiovanni, Anna; Marino, Paolo; Carluccio, Erberto; Piella Fenoy, Gemma; Fraser, Alan G.; Bijnens, Bart (American Hearth Association, 2018)
    Current diagnosis of heart failure with preserved ejection fraction (HFpEF) is suboptimal. We tested the hypothesis that comprehensive machine learning (ML) of left ventricular function at rest and exercise objectively ...
  • Hoodbhoy, Zahra; Hasan, Babar; Jehan, Fyezah; Bijnens, Bart; Chowdhury, Devyani (F1000Research, 2018)
    In Pakistan, stillbirth rates and early neonatal mortality rates are amongst the highest in the world. The aim of this study is to provide proof of concept for using a computational model of fetal haemodynamics, combined ...
  • García Cañadilla, Patricia, 1985-; Sanchez Martinez, Sergio; Crispi Brillas, Fàtima; Bijnens, Bart (Karger (S. Karger AG), 2020)
    In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the diagnosis and monitoring of fetuses with a compromised cardiovascular system potentially associated with several fetal conditions. ...
  • Cikes, Maja; Sanchez Martinez, Sergio; Claggett, Brian; Duchateau, Nicolas; Piella Fenoy, Gemma; Butakoff, Constantine; Pouleur, Anne Catherine; Knappe, Dorit; Biering‐Sørensen, Tor; Kutyifa, Valentina; Moss, Arthur; Stein, Kenneth; Solomon, Scott D.; Bijnens, Bart (Wiley, 2019)
    We tested the hypothesis that a machine learning (ML) algorithm utilizing both complex echocardiographic data and clinical parameters could be used to phenogroup a heart failure (HF) cohort and identify patients with ...
  • Imre Sarvari, Sebastian; Rodriguez López, Mérida; Nuñez-Garcia, Marta; Sitges, Marta; Sepúlveda-Martínez, Álvaro; Camara, Oscar; Butakoff, Constantine; Gratacós Solsona, Eduard; Bijnens, Bart; Crispi Brillas, Fàtima (American Hearth Association, 2017)
    Fetal growth restriction (FGR) affects 5% to 10% of newborns and is associated with increased cardiovascular mortality in adulthood. We evaluated whether prenatal cardiovascular changes previously demonstrated in FGR persist ...
  • Gaudron, Daniel; Liu, Dan; Scholz, Friederike; Hu, Kai; Florescum, Christiane; Herrmann, Sebastian; Bijnens, Bart; Ertl, Georg; Störk, Stefan; Weidemann, Frank (Elsevier, 2016)
    Patients in the early stage of hypertensive heart disease tend to have normal echocardiographic findings. The aim of this study was to investigate whether pathology-specific echocardiographic morphologic and functional ...

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