activity
20202024
most citedBeyond Fourier transform: super-resolving optical coherence tomography

8 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

physics.optics2024

Motion Hologram: Jointly optimized hologram generation and motion planning for photorealistic and speckle-free 3D displays via reinforcement learning

Zhenxing Dong, Yuye Ling, Yan Li +1

Holography is capable of rendering three-dimensional scenes with full-depth control, and delivering transformative experiences across numerous domains, including virtual and augmen…

physics.med-ph2023

Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network

Xueshen Li, Zhenxing Dong, Hongshan Liu +3

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 can…

eess.IV2022

Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning

Xueshen Li, Shengting Cao, Hongshan Liu +6

Coronary artery disease (CAD) is a cardiovascular condition with high morbidity and mortality. Intravascular optical coherence tomography (IVOCT) has been considered as an optimal…

cs.CV2022

Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images

Yaoqi Tang, Yufan Li, Hongshan Liu +5

Inpainting shadowed regions cast by superficial blood vessels in retinal optical coherence tomography (OCT) images is critical for accurate and robust machine analysis and clinical…

eess.IV2021

Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution

Zhenxing Dong, Hong Cao, Wang Shen +4

Current learning-based single image super-resolution (SISR) algorithms underperform on real data due to the deviation in the assumed degrada-tion process from that in the real-worl…

eess.IV2021★ 1 cited

Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT images

Jiaxuan Li, Peiyao Jin, Jianfeng Zhu +8

An accurate and automated tissue segmentation algorithm for retinal optical coherence tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the presence…

eess.IV2020★ 8 cited

Beyond Fourier transform: super-resolving optical coherence tomography

Yuye Ling, Mengyuan Wang, Yu Gan +4

Optical coherence tomography (OCT) is a volumetric imaging modality that empowers clinicians and scientists to noninvasively visualize the cross-sections of biological samples. As…