Breast cancer is the most leading cancer occurring in women and is a significant factor in female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …
R Guo, Z Lin, T Shan, X Song, M Li… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this work, we design an iterative deep neural network to solve full-wave inverse scattering problems (ISPs) in the 2-D case. Forward modeling neural networks that predict the …
This article presents a quad-element MIMO antenna designed for multiband operation. The prototype of the design is fabricated and utilizes a vector network analyzer (VNA-AV3672D) …
Z Luo, B Shi, H Li, R Wan - European Conference on Computer Vision, 2025 - Springer
Abstract Electromagnetic Inverse Scattering Problems (EISP) have gained wide applications in computational imaging. By solving EISP, the internal relative permittivity of the scatterer …
This work presents a computational imaging (CI) system capable of retrieving 3-D images of the area under inspection. The system is based on the use of two linear dynamic …
This paper aims to assess the possibilities of using current and incoming fifth generation (5G) devices as millimeter wave (mmWave) imagers. For this purpose, previous works about …
R Guo, Z Lin, M Li, F Yang, S Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We present an inversion algorithm with a deep-learning-based model compression scheme. Models are described with latent parameters of a trained variational autoencoder (VAE) …
A millimeter-wave (mmW) classifier system applied to images synthesized from a coded- aperture based computational imaging (CI) radar is presented. A developed physical model …
Despite the enormous potential of millimeter-wave (mmWave) imaging, the high cost of large- scale antenna arrays or stringent prerequisites of the synthetic aperture radar (SAR) …