Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Esther Puyol Antón"'
Autor:
Sachin Govil, Brendan T. Crabb, Yu Deng, Laura Dal Toso, Esther Puyol-Antón, Kuberan Pushparajah, Sanjeet Hegde, James C. Perry, Jeffrey H. Omens, Albert Hsiao, Alistair A. Young, Andrew D. McCulloch
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 25, Iss 1, Pp 1-17 (2023)
Abstract Background Cardiac shape modeling is a useful computational tool that has provided quantitative insights into the mechanisms underlying dysfunction in heart disease. The manual input and time required to make cardiac shape models, however, l
Externí odkaz:
https://doaj.org/article/7253f2fe19814843b57f4da35e842e8e
Autor:
Marina Cecelja, Bram Ruijsink, Esther Puyol‐Antón, Ye Li, Harriet Godwin, Andrew P. King, Reza Razavi, Phil Chowienczyk
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 23 (2022)
Background Automated analysis of cardiovascular magnetic resonance images provides the potential to assess aortic distensibility in large populations. The aim of this study was to compare the prediction of cardiovascular events by automated cardiovas
Externí odkaz:
https://doaj.org/article/be242cfee424420ca49f4563ac2e9db7
Autor:
Esther Puyol-Antón, Bram Ruijsink, Jorge Mariscal Harana, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Phil Chowienczyk, Andrew P. King
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundArtificial intelligence (AI) techniques have been proposed for automation of cine CMR segmentation for functional quantification. However, in other applications AI models have been shown to have potential for sex and/or racial bias. The obj
Externí odkaz:
https://doaj.org/article/8e5c928891eb4ac1bb6cae4c7f76cd94
Autor:
Anastasia Fotaki, Esther Puyol-Antón, Amedeo Chiribiri, René Botnar, Kuberan Pushparajah, Claudia Prieto
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2022)
Artificial intelligence (AI) refers to the area of knowledge that develops computerised models to perform tasks that typically require human intelligence. These algorithms are programmed to learn and identify patterns from “training data,” that c
Externí odkaz:
https://doaj.org/article/22050ec08d464ac2a08bdc0c1f06d284
Autor:
Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Pier-Giorgio Masci, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 22, Iss 1, Pp 1-15 (2020)
Abstract Background Tissue characterisation with cardiovascular magnetic resonance (CMR) parametric mapping has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by late gadolinium enhancem
Externí odkaz:
https://doaj.org/article/d206855c2c354939a87f0b0b02a5721a
Autor:
John Whitaker, Radhouene Neji, Nicholas Byrne, Esther Puyol-Antón, Rahul K. Mukherjee, Steven E. Williams, Henry Chubb, Louisa O’Neill, Orod Razeghi, Adam Connolly, Kawal Rhode, Steven Niederer, Andrew King, Cory Tschabrunn, Elad Anter, Reza Nezafat, Martin J. Bishop, Mark O’Neill, Reza Razavi, Sébastien Roujol
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 21, Iss 1, Pp 1-15 (2019)
Abstract Background Ex-vivo cardiovascular magnetic resonance (CMR) imaging has played an important role in the validation of in-vivo CMR characterization of pathological processes. However, comparison between in-vivo and ex-vivo imaging remains chal
Externí odkaz:
https://doaj.org/article/74754297b562494da7bb5cf1beb070a1
Autor:
Clint Asher, Esther Puyol-Antón, Maleeha Rizvi, Bram Ruijsink, Amedeo Chiribiri, Reza Razavi, Gerry Carr-White
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Dilated Cardiomyopathy is conventionally defined by left ventricular dilatation and dysfunction in the absence of coronary disease. Emerging evidence suggests many patients remain vulnerable to major adverse outcomes despite clear therapeutic success
Externí odkaz:
https://doaj.org/article/b4b99e5374414a75a34655d52d155279
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Introduction: Deep learning demonstrates great promise for automated analysis of CMR. However, existing limitations, such as insufficient quality control and selection of target acquisitions from the full CMR exam, are holding back the introduction o
Externí odkaz:
https://doaj.org/article/07b805884cf349edac03f31648451222
Autor:
Sofia Monaci, Karli Gillette, Esther Puyol-Antón, Ronak Rajani, Gernot Plank, Andrew King, Martin Bishop
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Background: Focal ventricular tachycardia (VT) is a life-threating arrhythmia, responsible for high morbidity rates and sudden cardiac death (SCD). Radiofrequency ablation is the only curative therapy against incessant VT; however, its success is dep
Externí odkaz:
https://doaj.org/article/41406226237b48d6ae4491c794d9306d
Autor:
Amand Schmidt, Chris Finan, Mimount Bourfiss, Birgitta Velthuis, Esther Puyol-Antón, Abdulrahman Alasiri, Bram Ruijsink, Folkert Asselbergs, Anneline ter Riele, Jessica van Setten
Background drug development and disease prevention of heart failure (HF) and atrial fibrillation (AF) are impeded by a lack of robust early-stage surrogates. We determined to what extent cardiac magnetic resonance (CMR) measurements act as surrogates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3abf18893c3213011646fd1c93db4bcf
https://doi.org/10.21203/rs.3.rs-2449265/v1
https://doi.org/10.21203/rs.3.rs-2449265/v1