… Moreover, the efficiency of inversion procedure can be increased by using multiresolution …
problem caused by multiple scattering can be alleviated without sacrificing the accuracy of the …

… To overcome these issues, we propose a new two-step machine learning based approach.
In … Sun et al., “Efficient and accurate inversion of multiple scattering with deep learning,” Opt. …

… more efficiently and reliably. In order to improve the efficiency of the inversion, multiple
scattering … However, it is difficult to accurately measure the phase of scattered fields’ data at high …

… on solving full-wave non-linear ISPs by taking into account multiple scattering phenomena.
… Kamilov, “Efficient and accurate inversion of multiple scattering with deep learning,” Optics …

… , efficiency, and good generalization ability. By combining … In this work, we propose a
physics embedded deep learning method to solve the two … When multiple scattering is strong, …

… (DL) techniques have demonstrated superior efficiency and … to accurately predict the scattered
fields from a complex scatter … electromagnetic scattering, inverse scattering, deep learning, …

… To validate the inversion accuracy and efficiency of the dualmodule NMM-IEM machine
learning scheme, we compare their inversion results with those from the conventional BA and …

… computational efficiency, including inverse scattering (IS) and EM … deep learning (DL)
paradigm, which is emerging as a powerful framework enabling unprecedented time and accuracy …

… The aim of this study was to investigate a deep learning-based SPECT scatter estimation
that overcomes the accuracy-computational efficiency trade-off associated with MC …

… the multiple scattering effect that … inversion model or effective iterative solvers. Thus, it is of
paramount importance to ask and solve the problem of how best to combine machine learning …