Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US
image segmentation is crucial in image analysis. Recently, deep learning-based methods …

The massive and continuous spread of COVID-19 has motivated researchers around the
world to intensely explore, understand, and develop new techniques for diagnosis and …

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 …

Multispectral optoacoustic tomography is a high-resolution functional imaging modality that
can non-invasively access a broad range of pathophysiological phenomena. Real-time …

Photoacoustic imaging (PAI) has attracted great attention as a medical imaging method.
Typically, photoacoustic (PA) images are reconstructed via beamforming, but many factors …

Deep learning for ultrasound image formation is rapidly garnering research support and
attention, quickly rising as the latest frontier in ultrasound image formation, with much …

Image reconstruction from radio-frequency (RF) data is crucial for ultrafast plane wave
ultrasound (PWUS) imaging. Compared with the traditional delay-and-sum (DAS) method …

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 …

Ultrasound localization microscopy (ULM) is an emerging vascular imaging technique that
overcomes the resolution-penetration compromise of ultrasound imaging. Accurate and …

Ultrafast ultrasound (US) revolutionized biomedical imaging with its capability of acquiring
full-view frames at over 1 kHz, unlocking breakthrough modalities such as shear-wave …