ArticleBiomedical optics express2020
Resolution enhancement and realistic speckle recovery with generative adversarial modeling of micro-optical coherence tomography.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Label-free optical microscopy with artificial intelligence: a new paradigm in pathology.Biophotonics discovery · 2025Review
- A Future Picture: A Review of Current Generative Adversarial Neural Networks in Vitreoretinal Pathologies and Their Future Potentials.Biomedicines · 2025Review
- Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- Sub2Full: split spectrum to boost optical coherence tomography despeckling without clean data.Optics letters · 2024Article
- Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function.Metabolites · 2024Article
- Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network.Biomedical optics express · 2023Article
- MAS-Net OCT: a deep-learning-based speckle-free multiple aperture synthetic optical coherence tomography.Biomedical optics express · 2023Article
- Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe.Communications biology · 2023Article
- Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning.IEEE transactions on bio-medical engineering · 2022Article
- Digital refocusing based on deep learning in optical coherence tomography.Biomedical optics express · 2022Article
- Hemodynamic Analysis of Pipeline Embolization Device Stent for Treatment of Giant Intracranial Aneurysm under Unsupervised Learning Algorithm.Journal of healthcare engineering · 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
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A resolution enhancement technique for optical coherence tomography (OCT), based on Generative Adversarial Networks (GANs), was developed and investigated. GANs have been previously used for resolution enhancement of photography and optical microscopy images. We have adapted and improved this technique for OCT image generation. Conditional GANs (cGANs) were trained on a novel set of ultrahigh resolution spectral domain OCT volumes, termed micro-OCT, as the high-resolution ground truth (∼1
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Registered trials
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