1 citations · 1 across the 1 of their papers we have counts for
5 papers
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…
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…
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…
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…
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-…