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Data-consistent neural networks for solving nonlinear inverse problems
Work
Year: 2022
Type: article
Abstract: Data assisted reconstruction algorithms, incorporating trained neural networks, are a novel paradigm for solving inverse problems. One approach is to first apply a classical reconstruction method and ... more
Source: Inverse Problems and Imaging
Authors Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab
Institutions University of Twente, Universität Innsbruck, University of Manchester
Cites: 79
Cited by: 4
Related to: 10
FWCI: 1.288
Citation percentile (by year/subfield): 87.39
Topic: Numerical methods in inverse problems
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: green