Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments
Z Zhang, C Li, W Wang, Z Dong, G Liu, Y Dong… - The Innovation, 2023 - Elsevier
Synchrotron tomography experiments are transitioning into multi-functional, cross-scale and
dynamic characterizations, enabled by new generation synchrotron light sources and fast …
dynamic characterizations, enabled by new generation synchrotron light sources and fast …
On machine learning in clinical interpretation of retinal diseases using oct images
PK Karn, WH Abdulla - Bioengineering, 2023 - mdpi.com
Optical coherence tomography (OCT) is a noninvasive imaging technique that provides high-
resolution cross-sectional retina images, enabling ophthalmologists to gather crucial …
resolution cross-sectional retina images, enabling ophthalmologists to gather crucial …
Triplet cross-fusion learning for unpaired image denoising in optical coherence tomography
Optical coherence tomography (OCT) is a widely-used modality in clinical imaging, which
suffers from the speckle noise inevitably. Deep learning has proven its superior capability in …
suffers from the speckle noise inevitably. Deep learning has proven its superior capability in …
Comparative study of deep neural networks with unsupervised Noise2Noise strategy for noise reduction of optical coherence tomography images
B Qiu, S Zeng, X Meng, Z Jiang, Y You… - Journal of …, 2021 - Wiley Online Library
As a powerful diagnostic tool, optical coherence tomography (OCT) has been widely used in
various clinical setting. However, OCT images are susceptible to inherent speckle noise that …
various clinical setting. However, OCT images are susceptible to inherent speckle noise that …
Speckle denoising based on deep learning via a conditional generative adversarial network in digital holographic interferometry
Q Fang, H Xia, Q Song, M Zhang, R Guo… - Optics …, 2022 - opg.optica.org
Speckle denoising can improve digital holographic interferometry phase measurements but
may affect experimental accuracy. A deep-learning-based speckle denoising algorithm is …
may affect experimental accuracy. A deep-learning-based speckle denoising algorithm is …
Live 4D-OCT denoising with self-supervised deep learning
By providing three-dimensional visualization of tissues and instruments at high resolution,
live volumetric optical coherence tomography (4D-OCT) has the potential to revolutionize …
live volumetric optical coherence tomography (4D-OCT) has the potential to revolutionize …
MAS-Net OCT: a deep-learning-based speckle-free multiple aperture synthetic optical coherence tomography
R Wu, S Huang, J Zhong, M Li, F Zheng… - Biomedical Optics …, 2023 - opg.optica.org
High-resolution spectral domain optical coherence tomography (SD-OCT) is a vital clinical
technique that suffers from the inherent compromise between transverse resolution and …
technique that suffers from the inherent compromise between transverse resolution and …
[HTML][HTML] Image enhancement of wide-field retinal optical coherence tomography angiography by super-resolution angiogram reconstruction generative adversarial …
Wide-field retinal optical coherence tomography angiography (OCTA) usually suffers from
low image resolution in clinical practice because of insufficient lateral sampling. In this study …
low image resolution in clinical practice because of insufficient lateral sampling. In this study …
Axial super-resolution optical coherence tomography via complex-valued network
Optical coherence tomography (OCT) is a fast and non-invasive optical interferometric
imaging technique that can provide high-resolution cross-sectional images of biological …
imaging technique that can provide high-resolution cross-sectional images of biological …
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network
Optical coherence tomography (OCT) has stimulated a wide range of medical image-based
diagnosis and treatment in fields such as cardiology and ophthalmology. Such applications …
diagnosis and treatment in fields such as cardiology and ophthalmology. Such applications …