The traditional means of monitoring the health of industrial systems involves the use of
vibration and performance monitoring techniques amongst others. In these approaches …

Medical ultrasound imaging relies heavily on high-quality signal processing to provide
reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms …

Effective tissue clutter filtering and noise removing are essential for ultrafast Doppler
imaging. Singular vector decomposition (SVD)-based spatiotemporal method has been …

Abstract Background and Objective Ultrafast Power Doppler (UPD) is a growing ultrasound
modality for imaging and diagnosing microvasculature disease. A key element of UPD is …

This work proposes an interpretable radiomics approach to differentiate between malignant
and benign focal liver lesions (FLLs) on contrast-enhanced ultrasound (CEUS). Although …

Introduction and hypothesis The tendency toward population-based screening programs for
prostate cancer (PCa) is expected to increase demand for prebiopsy imaging. This study …

A new algorithm based on singular value decomposition (SVD) to remove cardiac
contamination from trunk electromyography (EMG) is proposed. Its performance is compared …

In ambient-assisted living, in-cabin sensing, search and rescue, and public security, radar-
based wireless technology has been proven effective in sensing respiration and heartbeat …

When automatic monitoring buoys receive mixed acoustic signals from multiple underwater
acoustic targets, the statistical blind source separation (BSS) task is used to separate the …

Echocardiography has been a prominent tool for the diagnosis of cardiac disease. However,
these diagnoses can be heavily impeded by poor image quality. Acoustic clutter emerges …