Search Results for author:
Found 2 papers, 2 papers with code
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
Here, we revisit NN-based MRF reconstruction to jointly learn the forward process from MR parameters to fingerprints and the backward process from fingerprints to MR parameters by leveraging invertible neural networks (INNs).
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting
Here, we propose a convolutional neural network-based reconstruction, which enables both accurate and fast reconstruction of parametric maps, and is adaptable based on the needs of spatial regularization and the capacity for the reconstruction.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
