Browsing NIHR Advanced Imaging by Author "Gkontra, P"
Now showing items 1-4 of 4
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Cardiac Magnetic Resonance Radiomics Reveal Differential Impact of Sex, Age, and Vascular Risk Factors on Cardiac Structure and Myocardial Tissue
Raisi-Estabragh, Z; Jaggi, A; Gkontra, P; McCracken, C; Aung, N; Munroe, PB; Neubauer, S; Harvey, NC; Lekadir, K; Petersen, SE (2021) -
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) -
Higher consumption of red and processed meat is associated with adverse cardiovascular magnetic resonance morpho-functional phenotypes: A study of 19,408 UK Biobank participants
Raisi-Estabragh, Z; Mccracken, C; Gkontra, P; Jaggi, A; Ardissino, M; Cooper, J; Biasiolli, L; Aung, N; Piechnik, S; Neubauer, S (2021-05-11)Abstract from ESC Preventive Cardiology 2021 -
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 ...