4 citations · 9 across the 6 of their papers we have counts for
6 papers
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…
Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning
Delin Hu, Zhou Chen, Paul Baisamy +3
Tactile sensing in soft robots remains particularly challenging because of the coupling between contact and deformation information which the sensor is subject to during actuation…
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…
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…
Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model
Jinxi Xiang, Zhou Chen, Yonggui Dong +1
Imaging the bio-impedance distribution of a biological sample can provide understandings about the sample's electrical properties which is an important indicator of physiological s…