Microwave imaging has recently drawn increasing attention due to its potential for rapid
stroke diagnosis using this low-cost, and non-ionizing modality. Besides, this modality can …

A millimeter-wave (mmW) 3-D imaging system using high scanning-rate leaky-wave
antennas in a frequency-diverse multiple-input–multiple-output (MIMO) antenna …

Synthetic microwave focusing methods have been widely adopted in qualitative medical
imaging to detect and localize anomalies based on their electromagnetic scattering …

Stroke is a leading cause of death and disability worldwide, and early diagnosis and prompt
medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential …

In this article, an explainable deep learning scheme is proposed to tackle microwave
imaging for the task of multiple object localisation. Deep learning has been involved in …

Stroke is one of the leading causes of death and disability. To address this challenge,
microwave imaging has been proposed as a portable medical imaging modality. However …

Quantitative reconstruction of dielectric properties has enabled a wealth of biomedical
applications. Although traditional microwave imaging and microwave-induced …

Radio frequency (RF) imaging that leverages existing wireless communication infrastructure,
such as radio tomographic imaging (RTI) and joint communication and sensing (JCAS) is …

Deep learning has become a powerful tool for solving inverse problems in electromagnetic
medical imaging. However, contemporary deep-learning-based approaches are susceptible …

Microwave medical sensing and imaging (MMSI) has been a research hotspot in the past
years. Imaging algorithms based on electromagnetic inverse scattering (EIS) play a key role …