The following publications are possibly variants of this publication:
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- Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomographyJing Lei, Qibin Liu. eswa, 191:116296, 2022. [doi]
- Three-operator splitting scheme with the reference image regularization for electrical capacitance tomographyJ. Lei, Q. B. Liu, X. Y. Wang. nca, 31(9):5079-5096, 2019. [doi]
- An Image Reconstruction Algorithm Based on the Regularized Minimax Estimation for Electrical Capacitance TomographyJing Lei, Shi Liu. jmiv, 39(3):269-291, 2011. [doi]
- Fractional Optimization With the Learnable Prior for Electrical Capacitance TomographyJing Lei 0002, Qibin Liu. tci, 10:304-317, 2024. [doi]
- Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance TomographyJing Lei, Qibin Liu, Xueyao Wang. tim, 67(9):2107-2118, 2018. [doi]
- A Permittivity Imaging Method: Electrical Capacitance Tomography Based on Electromagnetic MomentumYidan Yang, Guoqiang Liu, Jing Liu. tim, 73:1-9, 2024. [doi]
- The Sensitivity Optimization Guided Imaging Method for Electrical Capacitance TomographyQing Zhao, Jie Li, Shi Liu, Guoqiang Liu, Jing Liu. tim, 70:1-15, 2021. [doi]
- Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance TomographyJing Lei 0002, Qibin Liu. tcyb, 53(12):7535-7547, December 2023. [doi]