65 citations · 229 across the 24 of their papers we have counts for
4 papers · 1 filter
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction
Jo Schlemper, Jinming Duan, Cheng Ouyang +4
We present simple reconstruction networks for multi-coil data by extending deep cascade of CNN's and exploiting the data consistency layer. In particular, we propose two variants,…
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
Chen Chen, Cheng Ouyang, Giacomo Tarroni +4
In this work, we present a fully automatic method to segment cardiac structures from late-gadolinium enhanced (LGE) images without using labelled LGE data for training, but instead…
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction
Jinming Duan, Jo Schlemper, Chen Qin +7
In this work, we propose a deep learning approach for parallel magnetic resonance imaging (MRI) reconstruction, termed a variable splitting network (VS-Net), for an efficient, high…
Generalizing Deep Learning MRI Reconstruction across Different Domains
Cheng Ouyang, Jo Schlemper, Carlo Biffi +5
We look into the robustness of deep learning based MRI reconstruction when tested on unseen contrasts and organs. We then propose to generalize the network by training with large p…