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 …

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 …

Triplet cross-fusion learning for unpaired image denoising in optical coherence tomography

M Geng, X Meng, L Zhu, Z Jiang, M Gao… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

Live 4D-OCT denoising with self-supervised deep learning

J Nienhaus, P Matten, A Britten, J Scherer, E Höck… - Scientific Reports, 2023 - nature.com
By providing three-dimensional visualization of tissues and instruments at high resolution,
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 …

[HTML][HTML] Image enhancement of wide-field retinal optical coherence tomography angiography by super-resolution angiogram reconstruction generative adversarial …

X Yuan, Y Huang, L An, J Qin, G Lan, H Qiu… - … Signal Processing and …, 2022 - Elsevier
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 …

Axial super-resolution optical coherence tomography via complex-valued network

L Wang, S Chen, L Liu, X Yin, G Shi… - Physics in Medicine & …, 2023 - iopscience.iop.org
Optical coherence tomography (OCT) is a fast and non-invasive optical interferometric
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

X Li, Z Dong, H Liu, JJ Kang-Mieler, Y Ling… - Biomedical Optics …, 2023 - opg.optica.org
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 …