Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Vicente Grau"'
A systematic review of machine learning models for management, prediction and classification of ARDS
Publikováno v:
Respiratory Research, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Aim Acute respiratory distress syndrome or ARDS is an acute, severe form of respiratory failure characterised by poor oxygenation and bilateral pulmonary infiltrates. Advancements in signal processing and machine learning have led to promisi
Externí odkaz:
https://doaj.org/article/62e4547f0ba54fdf98707f8fab2eb426
Autor:
Jorge Corral Acero, Pablo Lamata, Ingo Eitel, Ernesto Zacur, Ruben Evertz, Torben Lange, Sören J. Backhaus, Thomas Stiermaier, Holger Thiele, Alfonso Bueno-Orovio, Andreas Schuster, Vicente Grau
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This study aims at identifying risk-related patterns of left ventricular contraction dynamics via novel volume transient characterization. A multicenter cohort of AMI survivors (n = 1021) who underwent Cardiac Magnetic Resonance (CMR) after
Externí odkaz:
https://doaj.org/article/7e50cbc306084863b721a1c6fd0d4354
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-10 (2022)
Abstract Objectives Positron emission tomography (PET) imaging is a costly tracer-based imaging modality used to visualise abnormal metabolic activity for the management of malignancies. The objective of this study is to demonstrate that non-contrast
Externí odkaz:
https://doaj.org/article/d3ff90410a804b2d8e778794c3c98d18
Autor:
Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Cardiac anatomy and function vary considerably across the human population with important implications for clinical diagnosis and treatment planning. Consequently, many computer-based approaches have been developed to capture this variability for a w
Externí odkaz:
https://doaj.org/article/7d68ad7a6717454fba831b98e3ed9be3
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Human cardiac function is characterized by a complex interplay of mechanical deformation and electrophysiological conduction. Similar to the underlying cardiac anatomy, these interconnected physiological patterns vary considerably across the human po
Externí odkaz:
https://doaj.org/article/cd85cdbe0e614e1cb68021ddacdf868f
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
AimsPatient-to-patient anatomical differences are an important source of variability in the electrocardiogram, and they may compromise the identification of pathological electrophysiological abnormalities. This study aims at quantifying the contribut
Externí odkaz:
https://doaj.org/article/e8d3df709db64e0a9df4a6918ef86953
Autor:
Luca Biasiolli, Evan Hann, Elena Lukaschuk, Valentina Carapella, Jose M Paiva, Nay Aung, Jennifer J Rayner, Konrad Werys, Kenneth Fung, Henrike Puchta, Mihir M Sanghvi, Niall O Moon, Ross J Thomson, Katharine E Thomas, Matthew D Robson, Vicente Grau, Steffen E Petersen, Stefan Neubauer, Stefan K Piechnik
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0212272 (2019)
IntroductionAortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images. However, these methods require visual quality control and manual localization of the
Externí odkaz:
https://doaj.org/article/4cafb6e716724cfd9ee8f55f7386c1c9
Autor:
Francesca Galassi, Mohammad Alkhalil, Regent Lee, Philip Martindale, Rajesh K Kharbanda, Keith M Channon, Vicente Grau, Robin P Choudhury
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0190650 (2018)
Assessment of coronary stenosis severity is crucial in clinical practice. This study proposes a novel method to generate 3D models of stenotic coronary arteries, directly from 2D coronary images, and suitable for immediate assessment of the stenosis
Externí odkaz:
https://doaj.org/article/660feb0b62bd4a9b8d37dd91e76cbe8e
Publikováno v:
Journal of Imaging, Vol 4, Iss 1, p 16 (2018)
We introduce a tool to build a surface mesh able to deal with sparse, heterogeneous, non-parallel, cross-sectional, non-coincidental contours and show its application to reconstruct surfaces of the heart. In recent years, much research has looked at
Externí odkaz:
https://doaj.org/article/4eb9cdadfb7c406f8282c2b27d540b8c
Autor:
Valentina Carapella, Rafel Bordas, Pras Pathmanathan, Maelene Lohezic, Jurgen E Schneider, Peter Kohl, Kevin Burrage, Vicente Grau
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e92792 (2014)
Tissue microstructure, in particular the alignment of myocytes (fibre direction) and their lateral organisation into sheets, is fundamental to cardiac function. We studied the effect of microstructure on contraction in a computational model of rat le
Externí odkaz:
https://doaj.org/article/2b8f0da87d4640ac9a19684529c9eca2