Learning Nonlinear Electrical Impedance Tomography

Author:

Colibazzi Francesco,Lazzaro Damiana,Morigi SerenaORCID,Samoré Andrea

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,General Engineering,Theoretical Computer Science,Software,Applied Mathematics,Computational Mathematics,Numerical Analysis

Reference30 articles.

1. Borsic, A., Graham, B.M., Adler, A., Lionheart, W.R.B.: In vivo impedance imaging with total variation regularization. IEEE Trans. Med. Imaging 29(1), 44–54 (2010)

2. Calderón, A.P.: On an inverse boundary value problem. In: Seminar on Numerical Analysis and Its Applications to Continuum Physics, 65–73 (1980)

3. Chan, T.F., Golub, G.H., Mulet, P.: A nonlinear primal-dual method for total variation-based image restoration. SIAM J. Sci. Comput. 20(6), 1964–1977 (1999)

4. Chen, X., Wang, Z., Zhang, X., Fu, R., Wang, D., Zhang, M., Wang, H., Member, S.: Deep autoencoder imaging method for electrical impedance tomography. IEEE Trans. Instrum. Meas. 70, 1–15 (2021)

5. Chen, Z., Yang, Y., Bagnaninchi, P.-O.: Hybrid learning-based cell aggregate imaging with miniature electrical impedance tomography. IEEE Trans. Instrum. Meas. 70, 1–10 (2021)

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