Recent advances in deep-learning-enhanced photoacoustic imaging

J Yang, S Choi, J Kim, B Park… - Advanced Photonics …, 2023 - spiedigitallibrary.org
Photoacoustic imaging (PAI), recognized as a promising biomedical imaging modality for
preclinical and clinical studies, uniquely combines the advantages of optical and ultrasound …

Bessel Beams in Ophthalmology: A Review

CS Suchand Sandeep, A Khairyanto, T Aung… - Micromachines, 2023 - mdpi.com
The achievable resolution of a conventional imaging system is inevitably limited due to
diffraction. Dealing with precise imaging in scattering media, such as in the case of …

Decoupling thermal effects in GaN photodetectors for accurate measurement of ultraviolet intensity using deep neural network

K Baek, S Shin, H So - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Precise and reliable monitoring systems under various harsh conditions are important to
realize an overall future automation system for diverse industries. In this study, a facile …

High-consistent optical fiber photoacoustic generator with carbon nanoparticles-PDMS composite

S Lu, C Li, R Liu, T Liang, X Song - Optics and Lasers in Engineering, 2023 - Elsevier
Optical fiber photoacoustic (PA) probe is considered to have great prospects in high
resolution invasive imaging due to the advantages of flexible, miniaturized broadband …

Review of photoacoustic imaging plus X

D Jiang, L Zhu, S Tong, Y Shen, F Gao… - arXiv preprint arXiv …, 2023 - arxiv.org
Photoacoustic imaging (PAI) is a novel modality in biomedical imaging technology that
combines the rich optical contrast with the deep penetration of ultrasound. To date, PAI …

Photoacoustic imaging plus X: a review

D Jiang, L Zhu, S Tong, Y Shen… - Journal of Biomedical …, 2024 - spiedigitallibrary.org
Significance Photoacoustic (PA) imaging (PAI) represents an emerging modality within the
realm of biomedical imaging technology. It seamlessly blends the wealth of optical contrast …

Applications of Deep Learning Algorithms to Ultrasound Imaging Analysis in Preclinical Studies on In Vivo Animals

L De Rosa, S L'Abbate, C Kusmic, F Faita - Life, 2023 - mdpi.com
Background and Aim: Ultrasound (US) imaging is increasingly preferred over other more
invasive modalities in preclinical studies using animal models. However, this technique has …

Data-Effective Learning: A Comprehensive Medical Benchmark

W Yang, W Tan, Y Sun, B Yan - arXiv preprint arXiv:2401.17542, 2024 - arxiv.org
Data-effective learning aims to use data in the most impactful way to train AI models, which
involves strategies that focus on data quality rather than quantity, ensuring the data used for …

URS-Nets++: unified dense residual networks with multi-headed attention layers for removal of EMI noise from CT images

S Pradeep, P Nirmaladevi - Signal, Image and Video Processing, 2023 - Springer
U-Nets occupy the major share in the removal of EMI noises from the CT Images. However,
lack of network depth leads to performance degradation in existing variants of U-Nets which …

Learning Tissue Geometries for Photoacoustic Image Analysis

M Schellenberg - 2024 - archiv.ub.uni-heidelberg.de
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 …