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 modified distorted Born iterative method (DBIM), which includes clustering of
reconstructed electrical properties (EPs) after certain iterations, is presented for brain …

The timely treatment is the crucial element for the survival of patients with brain stroke. Thus,
a fast, cost-effective, and portable device is needed for the early and on-the-spot diagnosis …

A wideband wearable electromagnetic (EM) head imaging system for brain stroke detection
is presented. The proposed system aims at overcoming the challenges of size, rigidity, and …

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 …

We present a preliminary study of microwave head imaging using a three-dimensional (3-D)
implementation of the distorted Born iterative method (DBIM). Our aim is to examine the …

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 …

Introduction: Electromagnetic imaging is an emerging technology which promises to provide
a mobile, and rapid neuroimaging modality for pre-hospital and bedside evaluation of stroke …