The Gumbel-max trick is a method to draw a sample from a categorical distribution, given by
its unnormalized (log-) probabilities. Over the past years, the machine learning community …

Photoacoustic imaging combines high optical absorption contrast and deep acoustic
penetration, and can reveal structural, molecular, and functional information about biological …

Optimizing k-space sampling trajectories is a promising yet challenging topic for fast
magnetic resonance imaging (MRI). This work proposes to optimize a reconstruction method …

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

Strategic subsampling has become a focal point due to its effectiveness in compressing
data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This …

Compressed sensing (CS) MRI relies on adequate under-sampling of the k-space to
accelerate the acquisition without compromising image quality. Consequently, the design of …

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

Ultrafast ultrasound imaging remains an active area of interest in the ultrasound community
due to its ultrahigh frame rates. Recently, a wide variety of studies based on deep learning …

Millimeter wave channels exhibit structure that allows beam alignment with fewer channel
measurements than exhaustive beam search. From a compressed sensing (CS) …

Traditional beamforming of medical ultrasound images relies on sampling rates significantly
higher than the actual Nyquist rate of the received signals. This results in large amounts of …