Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

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

Photoacoustic tomography is a fast-growing biomedical imaging modality that combines rich
optical contrast with a high acoustic resolution, at depths in tissues. Building upon the …

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 map** of molecular concentrations, providing vital clinical …

Synthetic medical image generation has evolved as a key technique for neural network
training and validation. A core challenge, however, remains in the domain gap between …

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

Significance Photoacoustic (PA) imaging (PAI) represents an emerging modality within the
realm of biomedical imaging technology. It seamlessly blends the wealth of optical contrast …

Electromagnetic wave-induced thermoacoustic imaging (EM-TAI) holds great promise for
disease diagnostics and treatments. Yet, the relevant imaging modalities are mostly focusing …

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