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Zhichao Lin
Zhichao Lin
在 mails.tsinghua.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
662021
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
532021
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
372021
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
252021
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
222020
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
152022
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
112022
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
92022
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
82022
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
52022
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
42023
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
42021
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
22023
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
12024
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
12023
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
12023
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
12023
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
12021
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
12019
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
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