ArticleBiomedical optics express2024
Unsupervised denoising of photoacoustic images based on the Noise2Noise network.
Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Physics-consistent denoising of full-field photoacoustic displacement maps using an adaptive residual attention network.Photoacoustics · 2026Article
- Photoacoustic Imaging for Women's Gynecological Health: Advances and Clinical Prospects.Bioengineering (Basel, Switzerland) · 2026Review
- Efficient denoising in LED-based optoacoustic tomography with squeeze-and-excitation deep convolutional networks.Journal of biomedical optics · 2026Article
- Custom-designed Verasonics-based multi-wavelength photoacoustic and ultrasound imaging: from technical advances to preclinical applications in cancer.Biomedical optics express · 2025Review
- Spectroscopic photoacoustic denoising framework using hybrid analytical and data-free learning method.Photoacoustics · 2025Article
- Iterative optimization algorithm with structural prior for artifacts removal of photoacoustic imaging.Photoacoustics · 2025Article
- Temporally delayed, dual-pulse, dual-wavelength photoacoustic imaging (TD-DP-DW-PAI): advancing capabilities of a commercial light-emitting diode-based photoacoustic imaging system with a pulsed laser diode.Biomedical optics express · 2025Article
- Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting.Photoacoustics · 2025Article
- Lightweight denoising speckle contrast image GAN for real-time denoising of laser speckle imaging of blood flow.Biomedical optics express · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
In this study, we implemented an unsupervised deep learning method, the Noise2Noise network, for the improvement of linear-array-based photoacoustic (PA) imaging. Unlike supervised learning, which requires a noise-free ground truth, the Noise2Noise network can learn noise patterns from a pair of noisy images. This is particularly important for in vivo PA imaging, where the ground truth is not available. In this study, we developed a method to generate noise pairs from a single set of PA images and verified our approach through simulation and experimental studies. Our results reveal that the method can effectively remove noise, improve signal-to-noise ratio, and enhance vascular structures at deeper depths. The denoised images show clear and detailed vascular structure at different depths, providing valuable insights for preclinical research and potential clinical applications.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.