Guest Editorial: Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic ImagingM. Arrebola, M. Li, and M. Salucci

Physics Embedded Deep Neural Network for Solving Volume Integral Equation: 2-D CaseR. Guo, T. Shan, X. Song, M. Li, F. Yang, S. Xu, and A. Abubakar

Physics Embedded Deep Neural Network for Solving Full-Wave Inverse Scattering ProblemsR. Guo, Z. Lin, T. Shan, X. Song, M. Li, F. Yang, S. Xu, and A. Abubakar

Cascaded Complex U-Net Model to Solve Inverse Scattering Problems With Phaseless-Data in the Complex DomainF. Luo, J. Wang, J. Zeng, L. Zhang, B. Zhang, K. Xu, and X. Luo

Machine Learning Target Count Prediction in Electromagnetics Using Neural NetworksM. Sabbaghi, J. Zhang, and G. W. Hanson

A Physics-Assisted Deep Learning Microwave Imaging Framework for Real-Time Shape Reconstruction of Unknown TargetsÁ. Yago Ruiz, M. Cavagnaro, and L. Crocco

Enhanced Supervised Descent Learning Technique for Electromagnetic Inverse Scattering Problems by the Deep Convolutional Neural NetworksH. M. Yao, R. Guo, M. Li, L. Jiang, and M. Ng

A Tailored Semiphysics-Driven Artificial Neural Network for Electromagnetic Full-Wave InversionY. Chen, M. Zhong, Z. Guan, and F. Han

Learning-Based Inversion Method for Solving Electromagnetic Inverse Scattering With Mixed Boundary ConditionsR. Song, Y. Huang, X. Ye, K. Xu, C. Li, and X. Chen

Fast 3-D Electromagnetic Full-Wave Inversion of Dielectric Anisotropic Objects Based on ResU-Net Enhanced by Variational Born Iterative MethodJ. Fei, Y. Chen, M. Zhong, and F. Han

Learned Global Optimization for Inverse Scattering Problems: Matching Global Search With Computational EfficiencyM. Salucci, L. Poli, P. Rocca, and A. Massa

Dielectric Breast Phantoms by Generative Adversarial NetworkW. Shao and B. Zhou

Breast Imaging by Convolutional Neural Networks From Joint Microwave and Ultrasonic DataY. Qin, P. Ran, T. Rodet, and D. Lesselier

A Hybrid Neural Network Electromagnetic Inversion Scheme (HNNEMIS) for Super-Resolution 3-D Microwave Human Brain ImagingL.-Y. Xiao, R. Hong, L.-Y. Zhao, H.-J. Hu, and Q. H. Liu

Learning Approach to FMCW Radar Target Classification With Feature Extraction From Wave PhysicsK. Tan, T. Yin, H. Ruan, S. Balon, and X. Chen

Artificial Intelligence-Based Low-Terahertz Imaging for Archaeological Shards’ ClassificationF. Zidane, V. L. Coli, J. Lanteri, J. Marot, L. Brochier, D. Binder, and C. Migliaccio

DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion Under Heterogeneous Soil ConditionsQ. Dai, Y. H. Lee, H.-H. Sun, G. Ow, M. L. M. Yusof, and A. C. Yucel

Deep Complex Convolutional Neural Networks for Subwavelength Microstructure ImagingT.-F. Wei, X.-H. Wang, and C.-H. Qu

Deep-Learning-Enabled Microwave-Induced Thermoacoustic Tomography Based on Sparse Data for Breast Cancer DetectionJ. Zhang, C. Li, W. Jiang, Z. Wang, L. Zhang, and X. Wang

Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic ImagingM. Salucci, M. Arrebola, T. Shan, and M. Li