319 citations · 421 across the 11 of their papers we have counts for
6 papers · 1 filter
Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging
Shengnan Wang, Yi Li, Zhou Chen +1
Three-dimensional electrical capacitance tomography (3D-ECT) has shown promise for visualizing industrial multiphase flows. However, existing 3D-ECT approaches suffer from limited…
Regularized Shallow Image Prior for Electrical Impedance Tomography
Zhe Liu, Zhou Chen, Qi Wang +2
Untrained Neural Network Prior (UNNP) based algorithms have gained increasing popularity in tomographic imaging, as they offer superior performance compared to hand-crafted priors…
A Learning-Based 3D EIT Image Reconstruction Method
Zhaoguang Yi, Zhou Chen, Yunjie Yang
Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approa…
Impedance-optical Dual-modal Cell Culture Imaging with Learning-based Information Fusion
Zhe Liu, Pierre Bagnaninchi, Yunjie Yang
While Electrical Impedance Tomography (EIT) has found many biomedicine applications, a better resolution is needed to provide quantitative analysis for tissue engineering and regen…
MMV-Net: A Multiple Measurement Vector Network for Multi-frequency Electrical Impedance Tomography
Zhou Chen, Jinxi Xiang, Pierre Bagnaninchi +1
Multi-frequency Electrical Impedance Tomography (mfEIT) is an emerging biomedical imaging modality to reveal frequency-dependent conductivity distributions in biomedical applicatio…
FISTA-Net: Learning A Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
Jinxi Xiang, Yonggui Dong, Yunjie Yang
Inverse problems are essential to imaging applications. In this paper, we propose a model-based deep learning network, named FISTA-Net, by combining the merits of interpretability…