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Showing 2025 · eess.IVShow all
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eess.IV2025★ 4 cited
Physics-Driven Neural Network for Solving Electromagnetic Inverse Scattering Problems
Yutong Du, Zicheng Liu, Bazargul Matkerim +4
In recent years, deep learning-based methods have been proposed for solving inverse scattering problems (ISPs), but most of them heavily rely on data and suffer from limited genera…
eess.IV2025★ 1 cited
Quality-factor inspired deep neural network solver for solving inverse scattering problems
Yutong Du, Zicheng Liu, Miao Cao +3
Deep neural networks have been applied to address electromagnetic inverse scattering problems (ISPs) and shown superior imaging performances, which can be affected by the training…