Imperial College London / The Imperial College of Science, Technology and Medicine
University / College
Location:
London,
United Kingdom (GB)
ISNI: 0000000121138111
ROR: https://ror.org/041kmwe10
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
Evaluating combinations of diagnostic tests to discriminate different dementia types (2018)
Bruun M, Rhodius-Meester HF, Koikkalainen J, Baroni M, Gjerum L, Lemstra AW, Barkhof F, et al.
Journal article
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
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