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  2. Research Outputs

Browsing by Author Rueckert D.

Showing results 1 to 15 of 15
Issue DateTitleAuthor(s)
2015A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motionBai W.; Shi W.; de Marvao A.; Dawes T.J.W.; O'Regan D.P.; Cook S.A. ; Rueckert D.
2018Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and SegmentationOktay O.; Ferrante E.; Kamnitsas K.; Heinrich M.; Bai W.; Caballero J.; Cook S.A. ; De Marvao A.; Dawes T.; O'Regan D.P.; Kainz B.; Glocker B.; Rueckert D.
2016Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricleBai W.; Peressutti D.; Parisot S.; Oktay O.; Rajchl M.; O�Regan D.; Cook S. ; King A.; Rueckert D.
2017Learning-based heart coverage estimation for short-axis cine cardiac MR imagesTarroni G.; Oktay O.; Bai W.; Schuh A.; Suzuki H.; Passerat-Palmbach J.; Glocker B.; de Marvao A.; O�Regan D.; Cook S. ; Rueckert D.
2017Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging studyDawes T.J.W.; De Marvao A.; Shi W.; Fletcher T.; Watson G.M.J.; Wharton J.; Rhodes C.J.; Howard L.S.G.E.; Gibbs J.S.R.; Rueckert D.; Cook S.A. ; Wilkins M.R.; O'Regan D.P.
2016Multi-input cardiac image super-resolution using convolutional neural networksOktay O.; Bai W.; Lee M.; Guerrero R.; Kamnitsas K.; Caballero J.; De Marvao A.; Cook S. ; O’Regan D.; Rueckert D.
2014Population-based studies of myocardial hypertrophy: High resolution cardiovascular magnetic resonance atlases improve statistical powerDe Marvao A.; Dawes T.J.; Shi W.; Minas C.; Keenan N.G.; Diamond T.; Durighel G.; Montana G.; Rueckert D.; Cook S.A. ; O'Regan D.P.
2015Precursors of hypertensive heart phenotype develop in healthy adults A High-Resolution 3D MRI StudyDe Marvao A.; Dawes T.J.W.; Shi W.; Durighel G.; Rueckert D.; Cook S.A. ; O'Regan D.P.
2015Prediction of clinical information from cardiac MRI using manifold learningWang H.; Shi W.; Bai W.; de Marvao A.M.S.M.; Dawes T.J.; O�Regan D.P.; Edwards P.; Cook S. ; Rueckert D.
2016Relationship between body composition and left ventricular geometry using three dimensional cardiovascular magnetic resonanceCorden B.; De Marvao A.; Dawes T.J.; Shi W.; Rueckert D.; Cook S.A. ; O'Regan D.P.
2012Remodeling after acute myocardial infarction: Mapping ventricular dilatation using three dimensional CMR image registrationOregan D.P.; Shi W.; Ariff B.; Baksi A.J.; Durighel G.; Rueckert D.; Cook S.A. 
2016Respiratory motion correction for 2D cine cardiac MR images using probabilistic edge mapsOktay O.; Tarroni G.; Bai W.; De Marvao A.; O'Regan D.; Cook S. ; Rueckert D.
2017Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac ImagesOktay O.; Bai W.; Guerrero R.; Rajchl M.; De Marvao A.; O'Regan D.P.; Cook S.A. ; Heinrich M.P.; Glocker B.; Rueckert D.
2018Three-dimensional cardiovascular imaging-genetics: A mass univariate frameworkBiffi C.; De Marvao A.; Attard M.I.; Dawes T.J.W.; Whiffin N.; Bai W.; Shi W.; Francis C.; Meyer H.; Buchan R.; Cook S.A. ; Rueckert D.; O'Regan D.P.
2017Titin-truncating variants affect heart function in disease cohorts and the general populationSchafer S. ; De Marvao A.; Adami E.; Fiedler L.R. ; Ng B.; Khin E. ; Rackham O.J.L. ; Van Heesch S.; Pua C.J.; Kui M.; Walsh R.; Tayal U.; Prasad S.K.; Dawes T.J.W.; Ko N.S.J.; Sim D.; Chan L.L.H.; Chin C.W.L. ; Mazzarotto F.; Barton P.J.; Kreuchwig F.; De Kleijn D.P.V. ; Totman T. ; Biffi C.; Tee N.; Rueckert D.; Schneider V.; Faber A.; Regitz-Zagrosek V.; Seidman J.G.; Seidman C.E.; Linke W.A.; Kovalik J.-P. ; O'Regan D.; Ware J.S.; Hubner N.; Cook S.A. 
Showing results 1 to 15 of 15