RSPSSL: A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization
J Hu, GJ Chen, C Xue, P Liang, Y Xiang… - Light: Science & …, 2024 - nature.com
Raman spectroscopy has tremendous potential for material analysis with its molecular
fingerprinting capability in many branches of science and technology. It is also an emerging …
fingerprinting capability in many branches of science and technology. It is also an emerging …
Toward ground-truth optical coherence tomography via three-dimensional unsupervised deep learning processing and data
R Wu, F Zheng, M Li, S Huang, X Ge… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Optical coherence tomography (OCT) can perform non-invasive high-resolution three-
dimensional (3D) imaging and has been widely used in biomedical fields, while it is …
dimensional (3D) imaging and has been widely used in biomedical fields, while it is …
An Unsupervised Generative Adversarial Network System to Detect DDoS Attacks in SDN
Network management is a crucial task to maintain modern systems and applications
running. Some applications have become vital for society and are expected to have zero …
running. Some applications have become vital for society and are expected to have zero …
Transfer Learning and Interpretable Analysis-Based Quality Assessment of Synthetic Optical Coherence Tomography Images by CGAN Model for Retinal Diseases
K Han, Y Yu, T Lu - Processes, 2024 - mdpi.com
This study investigates the effectiveness of using conditional generative adversarial
networks (CGAN) to synthesize Optical Coherence Tomography (OCT) images for medical …
networks (CGAN) to synthesize Optical Coherence Tomography (OCT) images for medical …
Dual blind-spot network for self-supervised denoising in OCT images
The blind-spot network and its variants have shown promising results in the field of self-
supervised denoising tasks. These methods aim at concealing noisy image pixels and …
supervised denoising tasks. These methods aim at concealing noisy image pixels and …
Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography images
Purpose Optical coherence tomography (OCT) is a noninvasive, high-resolution imaging
modality capable of providing both cross-sectional and three-dimensional images of tissue …
modality capable of providing both cross-sectional and three-dimensional images of tissue …
Early experience of adopting a generative diffusion model for the synthesis of fundus photographs
The generative diffusion model has been highlighted as a state-of-the-art artificial
intelligence technique for image synthesis. Here, we show that a denoising diffusion …
intelligence technique for image synthesis. Here, we show that a denoising diffusion …
A feasibility study on the adoption of a generative denoising diffusion model for the synthesis of fundus photographs using a small dataset
The generative diffusion model has been highlighted as a state-of-the-art artificial
intelligence technique for image synthesis. Here, we show that a denoising diffusion …
intelligence technique for image synthesis. Here, we show that a denoising diffusion …
Axial Super-Resolution by Optical Coherence Tomography Spectrum-Based Training
Z Xu, Y Gao, X Chen, K Lin, L Liu - Available at SSRN 4835618 - papers.ssrn.com
Higher axial resolution for optical coherence tomography (OCT) images are always desired.
Deep learning has emerged as a powerful tool for image resolution enhancement, yet its …
Deep learning has emerged as a powerful tool for image resolution enhancement, yet its …