Search Results for author: Matthias Stuber

Found 4 papers, 1 papers with code

ALMA: a mathematics-driven approach for determining tuning parameters in generalized LASSO problems, with applications to MRI

no code implementations27 Jun 2024 Gianluca Giacchi, Isidoros Iakovidis, Bastien Milani, Matthias Stuber, Micah Murray, Benedetta Franceschiello

Here, we present ALMA (Algorithm for Lagrange Multipliers Approximation), an iterative mathematics-inspired technique that computes tuning parameters for generalized LASSO problems during MRI reconstruction.

MRI Reconstruction

Time-Dependent Deep Image Prior for Dynamic MRI

1 code implementation3 Oct 2019 Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser

The key ingredients of our method are threefold: 1) a fixed low-dimensional manifold that encodes the temporal variations of images; 2) a network that maps the manifold into a more expressive latent space; and 3) a convolutional neural network that generates a dynamic series of MRI images from the latent variables and that favors their consistency with the measurements in k-space.

MRI Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.