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To be or not to be stable, that is the question: understanding neural
  networks for inverse problems

To be or not to be stable, that is the question: understanding neural networks for inverse problems

24 November 2022
David Evangelista
J. Nagy
E. Morotti
E. L. Piccolomini
ArXivPDFHTML

Papers citing "To be or not to be stable, that is the question: understanding neural networks for inverse problems"

4 / 4 papers shown
Title
An incremental algorithm for non-convex AI-enhanced medical image processing
An incremental algorithm for non-convex AI-enhanced medical image processing
Elena Morotti
34
0
0
13 May 2025
Space-Variant Total Variation boosted by learning techniques in few-view
  tomographic imaging
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging
E. Morotti
Davide Evangelista
Andrea Sebastiani
E. L. Piccolomini
41
1
0
25 Apr 2024
Ambiguity in solving imaging inverse problems with deep learning based
  operators
Ambiguity in solving imaging inverse problems with deep learning based operators
David Evangelista
E. Morotti
E. L. Piccolomini
J. Nagy
25
9
0
31 May 2023
A review and experimental evaluation of deep learning methods for MRI
  reconstruction
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
44
41
0
17 Sep 2021
1