8 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…