Picture for James Nagy

James Nagy

Ambiguity in solving imaging inverse problems with deep learning based operators

Add code
May 31, 2023
Viaarxiv icon

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

Add code
Nov 24, 2022
Viaarxiv icon

Minimizing L1 over L2 norms on the gradient

Add code
Jan 04, 2021
Figure 1 for Minimizing L1 over L2 norms on the gradient
Figure 2 for Minimizing L1 over L2 norms on the gradient
Figure 3 for Minimizing L1 over L2 norms on the gradient
Figure 4 for Minimizing L1 over L2 norms on the gradient
Viaarxiv icon

Limited-angle CT reconstruction via the L1/L2 minimization

Add code
May 31, 2020
Figure 1 for Limited-angle CT reconstruction via the L1/L2 minimization
Figure 2 for Limited-angle CT reconstruction via the L1/L2 minimization
Figure 3 for Limited-angle CT reconstruction via the L1/L2 minimization
Figure 4 for Limited-angle CT reconstruction via the L1/L2 minimization
Viaarxiv icon

LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables

Add code
Jun 14, 2018
Figure 1 for LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables
Figure 2 for LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables
Figure 3 for LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables
Figure 4 for LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables
Viaarxiv icon