King’s College London

Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks (2018) Bowles C, Gunn R, Hammers A, Rueckert D Conference contribution 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 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 LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images (2018) Wright R, Khanal B, Gomez A, Skelton E, Matthew J, Hajnal JV, Rueckert D, Schnabel JA Conference contribution Stresses and strains on the human fetal skeleton during development (2018) Verbruggen SW, Kainz B, Shelmerdine SC, Hajnal JV, Rutherford MA, Arthurs OJ, Phillips ATM, Nowlan NC Journal article RAMBO 2018 Preface (2018) Kainz B, Bhatia K, Vercauteren T, Oktay O Book chapter / Article in edited volumes Standard plane detection in 3D fetal ultrasound using an iterative transformation network (2018) Li Y, Khanal B, Hou B, Alansary A, Cerrolaza JJ, Sinclair M, Matthew J, et al. Conference contribution Computing CNN loss and gradients for pose estimation with Riemannian geometry (2018) Hou B, Miolane N, Khanal B, Lee MCH, Alansary A, Mcdonagh S, Hajnal JV, et al. Conference contribution