King’s College London

Every participant is a PI. Citizen science and participatory governance in population studies (2017) Buyx A, Del Savio L, Prainsack B, Voelzke H Journal article, Review article Autoadaptive motion modelling for MR-based respiratory motion estimation (2017) Baumgartner CF, Kolbitsch C, Mcclelland JR, Rueckert D, King AP Journal article A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction (2017) Peressutti D, Sinclair M, Bai W, Jackson T, Ruijsink J, Nordsletten D, Asner L, et al. Journal article Learning optimal spatial scales for cardiac strain analysis using a motion atlas (2017) Sinclair M, Peressutti D, Puyol-Anton E, Bai W, Nordsletten D, Hadjicharalambous M, Kerfoot E, et al. Conference contribution A deep cascade of convolutional neural networks for MR image reconstruction (2017) Schlemper J, Caballero J, Hajnal JV, Price A, Rueckert D Conference contribution Fully automated segmentation-based respiratory motion correction of multiplanar cardiac magnetic resonance images for large-scale datasets (2017) Sinclair M, Bai W, Puyol-Antón E, Oktay O, Rueckert D, King AP Conference contribution Semi-supervised learning for network-based cardiac MR image segmentation (2017) Bai W, Oktay O, Sinclair M, Suzuki H, Rajchl M, Tarroni G, Glocker B, et al. Conference contribution Dynamic field mapping and motion correction using interleaved double spin-echo diffusion MRI (2017) Hutter J, Christiaens D, Deprez M, Cordero-Grande L, Slator P, Price A, Rutherford M, Hajnal JV Conference contribution Predicting slice-to-volume transformation in presence of arbitrary subject motion (2017) Hou B, Alansary A, McDonagh S, Davidson A, Rutherford M, Hajnal JV, Rueckert D, et al. Conference contribution Context-sensitive super-resolution for fast fetal magnetic resonance imaging (2017) Mcdonagh S, Hou B, Alansary A, Oktay O, Kamnitsas K, Rutherford M, Hajnal JV, Kainz B Conference contribution