Ultrasound (US) is one of the most widely used imaging modalities in medical diagnosis. It
has the advantages of real-time, low cost, noninvasive nature, and easy to operate …

Medical ultrasound images are reconstructed with simplifying assumptions on wave
propagation, with one of the most prominent assumptions being that the imaging medium is …

Foundation large language models (LLMs) have shown an impressive ability to solve tasks
across a wide range of fields including health. To effectively solve personalized health tasks …

In this article, we consider deep learning strategies in ultrasound systems, from the front end
to advanced applications. Our goal is to provide the reader with a broad understanding of …

Single plane wave transmissions are promising for automated imaging tasks requiring high
ultrasound frame rates over an extended field of view. However, a single plane wave …

By localizing microbubbles (MBs) in the vasculature, ultrasound localization microscopy
(ULM) has recently been proposed, which greatly improves the spatial resolution of …

In ultrasound (US) imaging, various types of adaptive beamforming techniques have been
investigated to improve the resolution and the contrast-to-noise ratio of the delay and sum …

Ultrasound tomography (UST) scanners allow quantitative images of the human breast's
acoustic properties to be derived with potential applications in screening, diagnosis and …

To accurately detect and track the thyroid nodules in a video is a crucial step in the thyroid
screening for identification of benign and malignant nodules in computer-aided diagnosis …

Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians in
diagnosing breast abnormalities. Clinical ultrasound often assumes a constant sound speed …