53 citations · 144 across the 12 of their papers we have counts for
5 papers · 1 filter
Motion corrected MRI with DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Deblurring using Encoding Redundancy
Lucilio Cordero-Grande, Giulio Ferrazzi, Rui Pedro A. G. Teixeira +3
Purpose: To enable rigid-body motion tolerant parallel volumetric magnetic resonance imaging by retrospective head motion correction on a variety of spatio-temporal scales and imag…
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations
Chen Qin, Jo Schlemper, Jinming Duan +4
Dynamic magnetic resonance imaging (MRI) exhibits high correlations in k-space and time. In order to accelerate the dynamic MR imaging and to exploit k-t correlations from highly u…
In utero diffusion MRI: challenges, advances, and applications
Daan Christiaens, Paddy J. Slator, Lucilio Cordero-Grande +6
In utero diffusion MRI provides unique opportunities to non-invasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as…
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI
Daan Christiaens, Lucilio Cordero-Grande, Maximilian Pietsch +8
Diffusion MRI offers a unique probe into neural microstructure and connectivity in the developing brain. However, analysis of neonatal brain imaging data is complicated by inevitab…
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…