Bayesian deep learning for accelerated mr image reconstruction (2018) Schlemper J, Castro DC, Bai W, Qin C, Oktay O, Duan J, Price AN, et al. Conference contribution Cardiac mr motion artefact correction from k-space using deep learning-based reconstruction (2018) Oksuz I, Clough J, Bustin A, Cruz G, Prieto C, Botnar R, Rueckert D, et al. Conference contribution Joint learning of motion estimation and segmentation for cardiac MR image sequences (2018) Qin C, Bai W, Schlemper J, Petersen SE, Piechnik SK, Neubauer S, Rueckert D Conference contribution Stochastic deep compressive sensing for the reconstruction of diffusion tensor cardiac MRI (2018) Schlemper J, Yang G, Ferreira P, Scott A, Mcgill LA, Khalique Z, Gorodezky M, et al. Conference contribution A comprehensive approach for learning-based fully-automated inter-slice motion correction for short-axis cine cardiac MR image stacks (2018) Tarroni G, Oktay O, Sinclair M, Bai W, Schuh A, Suzuki H, De Marvao A, et al. Conference contribution Cardiac MR segmentation from undersampled k-space using deep latent representation learning (2018) Schlemper J, Oktay O, Bai W, Castro DC, Duan J, Qin C, Hajnal JV, Rueckert D Conference contribution Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection (2018) Oksuz I, Ruijsink B, Puyol-Anton E, Bustin A, Cruz G, Prieto C, Rueckert D, et al. Conference contribution Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling (2018) Biffi C, Oktay O, Tarroni G, Bai W, De Marvao A, Doumou G, Rajchl M, et al. Conference contribution Graph saliency maps through spectral convolutional networks: Application to sex classification with brain connectivity (2018) Arslan S, Ktena SI, Glocker B, Rueckert D Conference contribution Small organ segmentation in whole-body mri using a two-stage fcn and weighting schemes (2018) Valindria VV, Lavdas I, Cerrolaza J, Aboagye EO, Rockall AG, Rueckert D, Glocker B Conference contribution