Rethinking data-driven point spread function modeling with a differentiable optical model
Authors: Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier Journal: Inverse Problems Year:…
Category: publications_jls
J.-L. Starck’s publications
Deep Learning-based galaxy image deconvolution
Authors: Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka, Frédéric Courbin, Kevin Michalewicz Journal: A&A Year: 2022 DOI: …
UNIONS: The impact of systematic errors on weak-lensing peak counts
Authors: E. Ayçoberry, V. Ajani, A. Guinot, M. Kilbinger, V. Pettorino, S. Farrens,…
ShapePipe: a new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data
Authors: A. Guinot, M. Kilbinger, S. Farrens, A. Peel, A. Pujol, M. Schmitz,…
ShapePipe: A modular weak-lensing processing and analysis pipeline
Authors: S. Farrens, A. Guinot, M. Kilbinger, T. Liaudat , L. Baumont, X.…
NC-PDNet: a Density-Compensated Unrolled Network for 2D and 3D non-Cartesian MRI Reconstruction
Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction.…
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction
Deep neural networks have recently been thoroughly investigated as a powerful tool for MRI…
Starlet l1-norm for weak lensing cosmology
Authors: Virginia Ajani, Jean-Luc Starck, Valeria Pettorino Journal: Astronomy & Astrophysics , Forthcoming…
State-of-the-art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
Accelerating MRI scans is one of the principal outstanding problems in the MRI research…
Multi-CCD Point Spread Function Modelling
Context. Galaxy imaging surveys observe a vast number of objects that are affected by…