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…
Category: Statistical Methods Publications
Publications related to signal processing and statistical methods.
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…
Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets
Deep learning is starting to offer promising results for reconstruction in Magnetic Resonance Imaging…
The first Deep Learning reconstruction of dark matter maps from weak lensing observational data
This is the first reconstruction of dark matter maps from weak lensing observational data…
Euclid: Non-parametric point spread function field recovery through interpolation on a Graph Laplacian
Authors: M.A. Schmitz, J.-L. Starck, F. Ngole Mboula, N. Auricchio, J. Brinchmann, R.I.…
Blind separation of a large number of sparse sources
Authors: C. Kervazo, J. Bobin, C. Chenot Journal: Signal Processing Year: 2018 Download:…
Distinguishing standard and modified gravity cosmologies with machine learning
Authors: A. Peel, F. Lalande, J.-L. Starck, V. Pettorino, J. Merten, C. Giocoli,…
On the dissection of degenerate cosmologies with machine learning
Authors: J. Merten, C. Giocoli, M. Baldi, M. Meneghetti, A. Peel, F. Lalande,…
Blind separation of a large number of sparse sources
Authors: C. Kervazo, J. Bobin, C. Chenot Journal: Signal Processing Year: 2018 Download:…