Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset
The MRI reconstruction field lacked a proper data set that allowed for reproducible…
Category: Publications
All CosmoStat publications
Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction
Reference: Z. Ramzi, P. Ciuciu and J.-L. Starck. “Benchmarking proximal methods acceleration enhancements for CS-acquired MR image…
Euclid: impact of nonlinear prescriptions on cosmological parameter estimation from weak lensing cosmic shear
Authors: Martinelli, M.;Tutusaus, I.;Archidiacono, M.;Camera, S.;Cardone, V. F.;Clesse, S.;Casas, S.;Casarini, L.;Mota, D. F.;Hoekstra,…
Euclid preparation: VII. Forecast validation for Euclid cosmological probes
Authors: Euclid Collaboration;Blanchard, A.;Camera, S.;Carbone, C.;Cardone, V. F.;Casas, S.;Clesse, S.;Ilić, S.;Kilbinger, M.;Kitching, T.;Kunz,…
Recovery of 21-cm intensity maps with sparse component separation
Authors: I.P. Carucci, M.O. Irfan, J.Bobin Journal: MNRAS Year: 2020 Download: ADS | arXiv…
Semi-supervised dictionary learning with graph regularization and active points
Authors: Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, J-L. Starck Journal: SIAM Journal on Imaging Sciences…
Deep Learning for space-variant deconvolution in galaxy surveys
Authors: Florent Sureau, Alexis Lechat, J-L. Starck Journal: Astronomy and Astrophysics Year: 2020…
Hybrid Pℓ(k): general, unified, non-linear matter power spectrum in redshift space
Authors: Bose, Benjamin;Winther, Hans A.;Pourtsidou, Alkistis;Casas, Santiago;Lombriser, Lucas;Xia, Qianli;Cataneo, Matteo Journal: Journal of…
Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes
Authors: Martinelli, M.;Martins, C. J. A. P.;Nesseris, S.;Sapone, D.;Tutusaus, I.;Avgoustidis, A.;Camera, S.;Carbone, C.;Casas,…
PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing
Authors: S. Farrens, A. Grigis, L. El Gueddari, Z. Ramzi, Chaithya G. R.,…