XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
We present a modular cross-domain neural network the XPDNet and its application to the…
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…
The MRI reconstruction field lacked a proper data set that allowed for reproducible…
Reference: Z. Ramzi, P. Ciuciu and J.-L. Starck. “Benchmarking proximal methods acceleration enhancements for CS-acquired MR image…
Authors: Martinelli, M.;Tutusaus, I.;Archidiacono, M.;Camera, S.;Cardone, V. F.;Clesse, S.;Casas, S.;Casarini, L.;Mota, D. F.;Hoekstra,…
Authors: Euclid Collaboration;Blanchard, A.;Camera, S.;Carbone, C.;Cardone, V. F.;Casas, S.;Clesse, S.;Ilić, S.;Kilbinger, M.;Kitching, T.;Kunz,…
Position: PhD Deadline: 15/04/2021 Contact: Valeria Pettorino Details about this position are provided in…
Authors: I.P. Carucci, M.O. Irfan, J.Bobin Journal: MNRAS Year: 2020 Download: ADS | arXiv…
Authors: Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, J-L. Starck Journal: SIAM Journal on Imaging Sciences…