ArticleBiomedical optics express2021
Reconstruction of visible light optical coherence tomography images retrieved from discontinuous spectral data using a conditional generative adversarial network.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- Visible Light Optical Coherence Tomography: Technology and Biomedical Applications.Bioengineering (Basel, Switzerland) · 2025Review
- High-resolution visible light OCT of the human retina with combined superluminescent diodes.Optics letters · 2025Article
- Visible-light optical coherence tomography and its applications.Neurophotonics · 2025Review
- Complex conjugate removal in optical coherence tomography using phase aware generative adversarial network.Journal of biomedical optics · 2025Article
- Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network.Biomedical optics express · 2023Article
- Imaging human macular pigments with visible light optical coherence tomography and superluminescent diodes.Optics letters · 2023Article
- Computational 3D resolution enhancement for optical coherence tomography with a narrowband visible light source.Biomedical optics express · 2023Article
- Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning.IEEE transactions on bio-medical engineering · 2022Article
- Corneal imaging with blue-light optical coherence microscopy.Biomedical optics express · 2022Article
- Computational refocusing of Jones matrix polarization-sensitive optical coherence tomography and investigation of defocus-induced polarization artifacts.Biomedical optics express · 2022Article
- Reconstruction of visible light optical coherence tomography images retrieved from discontinuous spectral data using a conditional generative adversarial network.Biomedical optics express · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
Achieving high resolution in optical coherence tomography typically requires the continuous extension of the spectral bandwidth of the light source. This work demonstrates an alternative approach: combining two discrete spectral windows located in the visible spectrum with a trained conditional generative adversarial network (cGAN) to reconstruct a high-resolution image equivalent to that generated using a continuous spectral band. The cGAN was trained using OCT image pairs acquired with the continuous and discontinuous visible range spectra to learn the relation between low- and high-resolution data. The reconstruction performance was tested using 6000 B-scans of a layered phantom, micro-beads and ex-vivo mouse ear tissue. The resultant cGAN-generated images demonstrate an image quality and axial resolution which approaches that of the high-resolution system.
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.