A presentation of my network for MRI reconstruction: the XPDNet.
A presentation of my network for MRI reconstruction: the XPDNet.
The SPARKLING algorithm was originally developed for accelerated 2D magnetic resonance imaging (MRI) in the compressed sensing (CS) context. It yields non-Cartesian sampling trajectories that jointly fulfill a target sampling density while each …
A presentation of my network for MRI reconstruction: the XPDNet.
A presentation of my network for Uncertainty Quantification in Inverse Problems with Denoising Score Matching.
A competition organized by Facebook and NYU to foster the best reconstruction algorithms.
An implementation of the GRAPPA MRI reconstruction algorithm with a TensorFlow backend.
An implementation of the NUFFT in TensorFlow.
Deep learning is starting to offer promising results for reconstruction in Magnetic Resonance Imaging (MRI). A lot of networks are being developed, but the comparisons remain hard because the frameworks used are not the same among studies, the …