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 …

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 …

Microwave medical imaging systems have shown a competitive advantage in stroke
detection due to their cost-effectiveness, non-ionization, and portability. However, these …

Microwave imaging is a promising method for early diagnosing and monitoring brain
strokes. It is portable, non-invasive, and safe to the human body. Conventional techniques …

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 …

In this work, the contrast source inversion method is combined with a finite element method
to solve microwave imaging problems. The paper's major contribution is the development of …