Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables
spatially resolved imaging of optical tissue properties up to several centimeters deep in …

Abstract Machine learning has been developed dramatically and witnessed a lot of
applications in various fields over the past few years. This boom originated in 2009, when a …

A superresolution imaging approach that localizes very small targets, such as red blood
cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution …

High-speed high-resolution imaging of the whole-brain hemodynamics is critically important
to facilitating neurovascular research. High imaging speed and image quality are crucial to …

In ear of smart cities, intelligent medical image recognition technique has become a
promising way to solve remote patient diagnosis in IoMT. Although deep learning-based …

Photoacoustic imaging—a hybrid biomedical imaging modality finding its way to clinical
practices. Although the photoacoustic phenomenon was known more than a century back …

Photoacoustic imaging (PAI) is an emerging hybrid imaging modality integrating the benefits
of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities …

Significance: Photoacoustic (PA) imaging can provide structural, functional, and molecular
information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal …

In acoustic resolution photoacoustic microscopy (AR-PAM), a high numerical aperture
focused ultrasound transducer (UST) is used for deep tissue high resolution photoacoustic …

Spatial sampling density and data size are important determinants of the imaging speed of
photoacoustic microscopy (PAM). Therefore, undersampling methods that reduce the …