| Machine learning in electromagnetics with applications to biomedical imaging: A review M Li, R Guo, K Zhang, Z Lin, F Yang, S Xu, X Chen, A Massa, A Abubakar IEEE Antennas and Propagation Magazine 63 (3), 39-51, 2021 | 66 | 2021 |
| Physics embedded deep neural network for solving full-wave inverse scattering problems R Guo, Z Lin, T Shan, X Song, M Li, F Yang, S Xu, A Abubakar IEEE transactions on antennas and propagation 70 (8), 6148-6159, 2021 | 53 | 2021 |
| Low-frequency data prediction with iterative learning for highly nonlinear inverse scattering problems Z Lin, R Guo, M Li, A Abubakar, T Zhao, F Yang, S Xu IEEE Transactions on Microwave Theory and Techniques 69 (10), 4366-4376, 2021 | 37 | 2021 |
| Solving combined field integral equation with deep neural network for 2-D conducting object R Guo, Z Lin, T Shan, M Li, F Yang, S Xu, A Abubakar IEEE Antennas and Wireless Propagation Letters 20 (4), 538-542, 2021 | 25 | 2021 |
| Neural network-based supervised descent method for 2D electrical impedance tomography Z Lin, R Guo, K Zhang, M Li, F Yang, S Xu, A Abubakar Physiological Measurement 41 (7), 074003, 2020 | 22 | 2020 |
| Neural born iterative method for solving inverse scattering problems: 2D cases T Shan, Z Lin, X Song, M Li, F Yang, S Xu IEEE Transactions on Antennas and Propagation 71 (1), 818-829, 2022 | 15 | 2022 |
| A nonlinear model compression scheme based on variational autoencoder for microwave data inversion R Guo, Z Lin, M Li, F Yang, S Xu, A Abubakar IEEE Transactions on Antennas and Propagation 70 (11), 11059-11069, 2022 | 11 | 2022 |
| Feature-based inversion using variational autoencoder for electrical impedance tomography Z Lin, R Guo, K Zhang, M Li, F Yang, S Xu, D Liu, A Abubakar IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 9 | 2022 |
| A deep generative model-integrated framework for 3-D time-difference electrical impedance tomography K Zhang, L Wang, R Guo, Z Lin, M Li, F Yang, S Xu, A Abubakar IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2022 | 8 | 2022 |
| A new approach for solving inverse scattering problems based on physics-informed supervised residual learning T Shan, Z Lin, X Song, M Li, F Yang, S Xu 2022 16th European Conference on Antennas and Propagation (EuCAP), 1-4, 2022 | 5 | 2022 |
| Physics-informed supervised residual learning for 2-D inverse scattering problems T Shan, Z Lin, X Song, M Li, F Yang, S Xu IEEE Transactions on Antennas and Propagation 71 (4), 3746-3751, 2023 | 4 | 2023 |
| Study on the degrees of freedom of scattered fields in nonlinear inverse scattering problems Z Lin, R Guo, M Li, F Yang, S Xu, A Abubakar 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2021 | 4 | 2021 |
| Three dimensional microwave data inversion in feature space for stroke imaging R Guo, Z Lin, J Xin, M Li, F Yang, S Xu, A Abubakar IEEE Transactions on Medical Imaging, 2023 | 2 | 2023 |
| Recent Advances in Multiscale-Multiphysics Inverse Scattering M Salucci, L Poli, S Lusa, Z Lin, M Li, A Massa 2024 18th European Conference on Antennas and Propagation (EuCAP), 1-4, 2024 | 1 | 2024 |
| Spatio-temporal classification of lung ventilation patterns using 3d eit images: A general approach for individualized lung function evaluation S Chen, L Li, Z Lin, K Zhang, Y Gong, L Wang, X Wu, M Li, Y Song, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 1 | 2023 |
| Tri-modal joint inversion based on disentangled variational autoencoder for human thorax imaging Z Lin, R Guo, K Zhang, H Zhang, M Li, F Yang, S Xu, A Abubakar IEEE Transactions on Instrumentation and Measurement, 2023 | 1 | 2023 |
| Joint inversion of electrical impedance, microwave and ultrasonic data with structural feature fusion for human thorax imaging Z Lin, R Guo, K Zhang, H Zhang, M Li, F Yang, S Xu, A Abubakar 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and …, 2023 | 1 | 2023 |
| Physics embedded iterative neural network for solving integral equations R Guo, Z Lin, T Shan, X Song, M Li, F Yang, S Xu, A Abubakar 2021 15th European Conference on Antennas and Propagation (EuCAP), 1-5, 2021 | 1 | 2021 |
| Supervised Descent Method Using Neural Networks for 2D Electrical Impedance Tomography Z Lin, R Guo, K Zhang, M Li, F Yang, S Xu, A Abubakar 2019 International Applied Computational Electromagnetics Society Symposium …, 2019 | 1 | 2019 |
| Physics Embedded Weight-Sharing Neural Network for Electrical Impedance Tomography Z Lin, R Guo, K Zhang, M Li, F Yang, S Xu, A Abubakar 2023 IEEE Conference on Antenna Measurements and Applications (CAMA), 54-57, 2023 | | 2023 |
Maokun LiTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
