most citedSolving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 2 cited

Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

Gaetan Rensonnet, Louise Adam, Benoit Macq

Deep neural networks (DNN) have an impressive ability to invert very complex models, i.e. to learn the generative parameters from a model's output. Once trained, the forward pass o…

physics.med-ph2020

A Signal Peak Separation Index for axisymmetric B-tensor encoding

Gaëtan Rensonnet, Jonathan Rafael-Patiño, Benoît Macq +3

Diffusion-weighted MRI (DW-MRI) has recently seen a rising interest in planar, spherical and general B-tensor encodings. Some of these sequences have aided traditional linear encod…