activity
20202023
most citedFISTA-Net: Learning A Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging

319 citations · 421 across the 11 of their papers we have counts for

collaborators

11 papers

eess.IV2023

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…

cs.RO2023

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…

eess.IV2023★ 1 cited

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…

eess.IV2022★ 4 cited

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…

eess.IV2021★ 29 cited

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…

eess.IV2021★ 1 cited

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…

eess.SP2021★ 1 cited

Real-time NLOS/LOS Identification for Smartphone-based Indoor Positioning System using WiFi RTT and RSS

Yinhuan Dong, Tugrul Arslan

The accuracy of smartphone-based positioning methods using WiFi usually suffers from ranging errors caused by non-line-of-sight (NLOS) conditions. Previous research usually exploit…

physics.flu-dyn2021★ 11 cited

Flow Regime Transition in Countercurrent Packed Column Monitored by ECT

Zhigang Li, Yuan Chen, Yunjie Yang +3

Vertical packed columns are widely used in absorption, stripping and distillation processes. Flooding will occur in the vertical packed columns as a result of excessive liquid accu…

eess.IV2020★ 319 cited

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…

physics.app-ph2020★ 3 cited

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…

physics.app-ph2020★ 52 cited

Multi-frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency Constrained Sparse Bayesian Learning

Jinxi Xiang, Yonggui Dong, Yunjie Yang

Imaging the bio-impedance distribution of the brain can provide initial diagnosis of acute stroke. This paper presents a compact and non-radiative tomographic modality, i.e. multi-…