K
Kenneth Fung
Researcher at Queen Mary University of London
Publications - 55
Citations - 2336
Kenneth Fung is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Population & Segmentation. The author has an hindex of 17, co-authored 49 publications receiving 1446 citations. Previous affiliations of Kenneth Fung include St Bartholomew's Hospital & Barts Health NHS Trust.
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Journal ArticleDOI
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Wenjia Bai,Matthew Sinclair,Giacomo Tarroni,Ozan Oktay,Martin Rajchl,Ghislain Vaillant,Aaron M. Lee,Nay Aung,Elena Lukaschuk,Mihir M. Sanghvi,Filip Zemrak,Kenneth Fung,José Miguel Paiva,Valentina Carapella,Young Jin Kim,Hideaki Suzuki,Bernhard Kainz,Paul M. Matthews,Steffen E. Petersen,Stefan K. Piechnik,Stefan Neubauer,Ben Glocker,Daniel Rueckert +22 more
TL;DR: An automated analysis method based on a fully convolutional network achieves a performance on par with human experts in analysing CMR images and deriving clinically relevant measures.
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Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort
Steffen E. Petersen,Nay Aung,Mihir M. Sanghvi,Filip Zemrak,Kenneth Fung,José Miguel Paiva,Jane M Francis,Mohammed Y Khanji,Elena Lukaschuk,Aaron M. Lee,Valentina Carapella,Young Jin Kim,Young Jin Kim,Paul Leeson,Stefan K. Piechnik,Stefan Neubauer +15 more
TL;DR: This study is the largest to provide CMR specific reference ranges for left ventricular, right ventricular), left atrial and right atrial structure and function derived from truly healthy Caucasian adults aged 45–74.
Journal ArticleDOI
Icosahedrally related decagonal quasicrystal in rapidly cooled Al-14-at.%-Fe alloy.
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Genome-Wide Analysis of Left Ventricular Image-Derived Phenotypes Identifies Fourteen Loci Associated With Cardiac Morphogenesis and Heart Failure Development.
Nay Aung,Nay Aung,Nay Aung,Jose D. Vargas,Chaojie Yang,Claudia P. Cabrera,Helen R. Warren,Helen R. Warren,Kenneth Fung,Kenneth Fung,Kenneth Fung,Evan Tzanis,Michael R. Barnes,Jerome I. Rotter,Kent D. Taylor,Ani Manichaikul,Joao A.C. Lima,David A. Bluemke,Stefan K. Piechnik,Stefan Neubauer,Patricia B. Munroe,Patricia B. Munroe,Steffen E. Petersen,Steffen E. Petersen,Steffen E. Petersen +24 more
TL;DR: This research presents a novel probabilistic approach that allows us to assess the importance of knowing the carrier and removal status of canine coronavirus, as a source of infection for other animals.
Journal ArticleDOI
A population-based phenome-wide association study of cardiac and aortic structure and function
Wenjia Bai,Hideaki Suzuki,Hideaki Suzuki,Jian Huang,Catherine Francis,Shuo Wang,Giacomo Tarroni,Giacomo Tarroni,Florian Guitton,Nay Aung,Kenneth Fung,Steffen E. Petersen,Stefan K. Piechnik,Stefan Neubauer,Evangelos Evangelou,Evangelos Evangelou,Abbas Dehghan,Declan P. O'Regan,Martin R. Wilkins,Yike Guo,Paul M. Matthews,Daniel Rueckert +21 more
TL;DR: This study illustrates how population-based cardiac and aortic imaging phenotypes can be used to better define cardiovascular disease risks as well as heart–brain health interactions, highlighting new opportunities for studying disease mechanisms and developing image-based biomarkers.