NC-PDNet: a Density-Compensated Unrolled Network for 2D and 3D non-Cartesian MRI Reconstruction
Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction....
All CosmoStat publications
Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction....
Deep neural networks have recently been thoroughly investigated as a powerful tool for MRI...
Authors: Virginia Ajani, Jean-Luc Starck, Valeria Pettorino Journal: Astronomy & Astrophysics , Forthcoming...
Accelerating MRI scans is one of the principal outstanding problems in the MRI research...
Sparse Blind Source Separation (sBSS) plays a key role in scientific domains as different...
Context. Galaxy imaging surveys observe a vast number of objects that are affected by...
The Dark Matter present in the Large-Scale Structure of the Universe is invisible, but...
We present a modular cross-domain neural network the XPDNet and its application to the...
Deep neural networks have proven extremely efficient at solving a wide range of inverse...
Sparsity based methods, such as wavelets, have been state-of-the-art for more than 20 years...