We review five types of physics-informed machine-learning (PIML) algorithms for inversion
and modeling of geophysical data. Such algorithms use the combination of a data-driven …

Simple Summary As breast cancer diagnoses continue to rise among women worldwide, it is
important to explore and improve upon methods of diagnosis and surveillance. Liquid …

Objective. Develop a dense algorithm for calculating the speed-of-sound shift between
consecutive acoustic acquisitions as a noninvasive means to evaluating temperature …

Extracting physical parameters that cannot be directly measured from an observed data set
remains a great challenge in several fields of science and physics. In many of these …

Full-waveform inversion (FWI) relies on low-frequency data to succeed if a good initial model
is unavailable. However, field seismic data excited by active sources are typically band …

The convenience, safety, and affordability of ultrasound imaging make it a vital non-invasive
diagnostic technique for examining soft tissues. However, significant differences in acoustic …

Within medical imaging, ultrasound serves as a crucial tool, particularly in the realms of
brain imaging and disease diagnosis. It offers superior safety, speed, and wider applicability …

Ultrasound computed tomography (USCT) is a fast-emerging imaging modality that is
expected to help detect and characterize breast tumors by quantifying the distribution of the …

Ultrasound computed tomography (USCT) shows great promise in nondestructive
evaluation and medical imaging due to its ability to quickly scan and collect data from a …

Data-centric inverse problems are a process of inferring physical attributes from indirect
measurements. Full-waveform inversion (FWI) is a non-linear inverse problem that attempts …