no code implementations • 27 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.
no code implementations • 6 Sep 2021 • Hélène Lajous, Christopher W. Roy, Tom Hilbert, Priscille de Dumast, Sébastien Tourbier, Yasser Alemán-Gómez, Jérôme Yerly, Thomas Yu, Hamza Kebiri, Kelly Payette, Jean-Baptiste Ledoux, Reto Meuli, Patric Hagmann, Andras Jakab, Vincent Dunet, Mériam Koob, Tobias Kober, Matthias Stuber, Meritxell Bach Cuadra
Accurate characterization of in utero human brain maturation is critical as it involves complex and interconnected structural and functional processes that may influence health later in life.
no code implementations • 13 Jul 2020 • John Heerfordt, Kevin K. Whitehead, Jessica A. M. Bastiaansen, Lorenzo Di Sopra, Christopher W. Roy, Jérôme Yerly, Bastien Milani, Mark A. Fogel, Matthias Stuber, Davide Piccini
Significantly higher blood-myocardium contrast ratio was obtained with SIMBA compared to All Data and FRF (P<0. 01).
1 code implementation • 3 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.