Enhancing electrical impedance tomography reconstruction using learned half-quadratic splitting networks with Anderson acceleration
DOI10.1007/s10915-023-02439-4arXiv2304.14491MaRDI QIDQ6182320
Huihui Wang, Qing-Ping Zhou, Guixian Xu
Publication date: 25 January 2024
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2304.14491
nonlinear inverse problemselectrical impedance tomographyAnderson accelerationhalf-quadratic splittingalgorithm unrolling
Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Numerical methods for integral transforms (65R10) Numerical solutions to equations with nonlinear operators (65J15) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46)
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Benchmarking results for the Newton-Anderson method
- Isotropic and anisotropic total variation regularization in electrical impedance tomography
- Comments on: ``Anderson acceleration, mixing and extrapolation
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Learning nonlinear electrical impedance tomography
- Spatially-adaptive variational reconstructions for linear inverse electrical impedance tomography
- A new non-iterative reconstruction method for the electrical impedance tomography problem
- Linear and Nonlinear Inverse Problems with Practical Applications
- An analysis of electrical impedance tomography with applications to Tikhonov regularization
- Anderson acceleration for contractive and noncontractive operators
- Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks
- Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations
- On the Convergence of Primal-Dual Hybrid Gradient Algorithm
- A Proof That Anderson Acceleration Improves the Convergence Rate in Linearly Converging Fixed-Point Methods (But Not in Those Converging Quadratically)
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