Photoacoustic imaging potentially allows for the real-time visualization of functional human
tissue parameters such as oxygenation but is subject to a challenging underlying …

Accurate measurement of optical absorption coefficients from photoacoustic imaging (PAI)
data would enable direct mapping of molecular concentrations, providing vital clinical …

Multiwavelength photoacoustic images encode information about a tissue's optical
absorption distribution. This can be used to estimate its blood oxygen saturation distribution …

An adequate supply of oxygen-rich blood is vital to maintain cell homeostasis, cellular
metabolism, and overall tissue health. While classical methods of measuring tissue ischemia …

Intelligent systems in interventional healthcare depend on the reliable perception of the
environment. In this context, photoacoustic tomography (PAT) has emerged as a non …

Significance Photoacoustic imaging (PAI) promises to measure spatially resolved blood
oxygen saturation but suffers from a lack of accurate and robust spectral unmixing methods …

Computer-aided engineering (CAE) models play a pivotal role in predicting crashworthiness
of vehicle designs. While CAE models continue to advance in fidelity and accuracy, an …

Large Language Models (LLMs) have great success in natural language processing tasks
such as response generation. However, their use in tabular data has been limited due to …

Solving of the inverse kinematics (IK) problem is a challenging topic in the field of robotic
arm controlling, due to the nonlinear, high computational costing, or ill-posed characteristic …

Photoacoustic imaging (PAI) holds great promise as a novel, non-ionizing imaging modality,
allowing insight into both morphological and physiological tissue properties, which are of …