Browsing NIHR Advanced Imaging by Author "Izquierdo, C"
Now showing items 1-5 of 5
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Cardiac magnetic resonance radiomics: basic principles and clinical perspectives.
Raisi-Estabragh, Z; Izquierdo, C; Campello, VM; Martin-Isla, C; Jaggi, A; Harvey, NC; Lekadir, K; Petersen, SE (Oxford University Press, 2020-03-06)Radiomics is a novel image analysis technique, whereby voxel-level information is extracted from digital images and used to derive multiple numerical quantifiers of shape and tissue character. Cardiac magnetic resonance ... -
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI
Campello, VM; Martín-Isla, C; Izquierdo, C; Petersen, SE; Ballester, MAG; Lekadir, K (Springer, Cham, 2020-01-23)© Springer Nature Switzerland AG 2020. Accurate segmentation of the cardiac boundaries in late gadolinium enhancement magnetic resonance images (LGE-MRI) is a fundamental step for accurate quantification of scar tissue. ... -
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge
Martin-Isla, C; Campello, VM; Izquierdo, C; Kushibar, K; Sendra-Balcells, C; Gkontra, P; Sojoudi, A; Fulton, MJ; Arega, TW; Punithakumar, K (2023) -
Image-Based Cardiac Diagnosis With Machine Learning: A Review
Martin-Isla, C; Campello, VM; Izquierdo, C; Raisi-Estabragh, Z; Baessler, B; Petersen, SE; Lekadir, K (Frontiers Media, 2020-01-24)Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD). Until now, its role has been limited to visual and quantitative assessment of cardiac structure and function. However, with the ... -
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge
Campello, VM; Gkontra, P; Izquierdo, C; Martin-Isla, C; Sojoudi, A; Full, PM; Maier-Hein, K; Zhang, Y; He, Z; Ma, J (Institute of Electrical and Electronics Engineers (IEEE), 2021)The emergence of deep learning has considerably advanced the state-of-the-art in cardiac magnetic resonance (CMR) segmentation. Many techniques have been proposed over the last few years, bringing the accuracy of automated ...