ReviewBiomedical engineering letters2022
Photoacoustic imaging aided with deep learning: a review.
Review in Biomedical engineering letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
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Who cites it
34 citing papers in PubMed.
- Deep learning-driven quantitative spectroscopic photoacoustic imaging for segmentation and oxygen saturation estimation.Ultrasonics · 2026Article
- Data-driven super-resolution optoacoustic imaging via physically encoded signal acquisition.Research square · 2026Article
- FM-Adapt: Foundation model adaptation with photoacoustic-supervised learning for interventional ultrasound.Photoacoustics · 2026Article
- Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications.Visual computing for industry, biomedicine, and art · 2026Review
- Potential of photoacoustic imaging for assessing tumor perfusion in intraocular tumors and high-resolution choroidal microvascular imaging: from technical advances to clinical translation.Frontiers in oncology · 2026Review
- Artifacts in photoacoustic imaging: Origins and mitigations.Photoacoustics · 2025Article
- Performance characterization of light-emitting diode array-based photoacoustic computed tomography (LED-PACT).Biomedical optics express · 2025Article
- Sinogram to image: direct reconstruction of photoacoustic tomography image using a hybrid deep learning approach.Biomedical optics express · 2025Article
- Model-informed deep-learning photoacoustic reconstruction for low-element linear array.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
- High resolution photoacoustic vascular image reconstruction through the fast residual dense generative adversarial network.Photoacoustics · 2025Article
- Energy estimation methods for positron emission tomography detectors composed of multiple scintillators.Biomedical engineering letters · 2025Article
- MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data.Photoacoustics · 2025Article
- Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures.Photoacoustics · 2025Article
- Joint segmentation and image reconstruction with error prediction in photoacoustic imaging using deep learning.Photoacoustics · 2024Article
- Strategies for mitigating inter-crystal scattering effects in positron emission tomography: a comprehensive review.Biomedical engineering letters · 2024Review
- Accurate Automated Quantification of Dopamine Transporter PET Without MRI Using Deep Learning-based Spatial Normalization.Nuclear medicine and molecular imaging · 2024Article
- TowardsFundamental research · 2024Review
- Compensating unknown speed of sound in learned fast 3D limited-view photoacoustic tomography.Photoacoustics · 2024Article
- Advances and Perspectives of Responsive Probes for Measuring γ-Glutamyl Transpeptidase.ACS measurement science au · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photoacoustic imaging (PAI) is an emerging hybrid imaging modality integrating the benefits of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities, its translation into clinics is still hindered by various limitations. In recent years, deeplearning (DL), a new paradigm of machine learning, is gaining a lot of attention due to its ability to improve medical images. Likewise, DL is also widely being used in PAI to overcome some of the limitations of PAI. In this review, we provide a comprehensive overview on the various DL techniques employed in PAI along with its promising advantages.
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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.