Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Wenjia Bai(Imperial College London), Daniel Rueckert(Munich Center for Machine Learning), Kenneth Fung(Queen Mary University of London), Hideaki Suzuki(Imperial College London), José Miguel Paiva(Queen Mary University of London), Ozan Oktay(Microsoft Research (United Kingdom)), Valentina Carapella(University of Oxford), Nay Aung(Queen Mary University of London), Ghislain Vaillant(Institute of Group Analysis), Aaron M. Lee(Queen Mary University of London), Paul M. Matthews(Rosalind Franklin Institute), Filip Zemrak(Queen Mary University of London), Stefan Neubauer(John Radcliffe Hospital), Steffen E. Petersen(Queen Mary University of London), Giacomo Tarroni(Institute of Group Analysis), Bernhard Kainz(Friedrich-Alexander-Universität Erlangen-Nürnberg), Stefan K. Piechnik(University of Oxford), Martin Rajchl(Institute of Group Analysis), Elena Lukaschuk(University of Oxford), Mihir M. Sanghvi(Queen Mary University of London), Young Jin Kim(University of Oxford), Matthew Sinclair(Institute of Group Analysis), Ben Glocker(Imperial College London)
Journal of Cardiovascular Magnetic Resonance
February 1, 2018
Cited by 773


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