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

Biomedical photoacoustic tomography, which can provide high-resolution 3D soft tissue
images based on optical absorption, has advanced to the stage at which translation from the …

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 …

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

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

Photoacoustic imaging (PAI), recognized as a promising biomedical imaging modality for
preclinical and clinical studies, uniquely combines the advantages of optical and ultrasound …

Photoacoustic imaging is a hybrid imaging modality that offers the advantages of optical
(spectroscopic contrast) and ultrasound imaging (scalable spatial resolution and imaging …

Photoacoustic imaging, with the capability to provide simultaneous structural, functional, and
molecular information, is one of the fastest growing biomedical imaging modalities of recent …

In this study, we implemented an unsupervised deep learning method, the Noise2Noise
network, for the improvement of linear-array-based photoacoustic (PA) imaging. Unlike …

Acoustic resolution photoacoustic microscopy (AR-PAM) is a promising medical imaging
modality that can be employed for deep bio-tissue imaging. However, its relatively low …