88 citations · 322 across the 24 of their papers we have counts for
5 papers · 1 filter
Universal digital filtering for denoising volumetric retinal OCT and OCT angiography in 3D shearlet domain
Jianlong Yang, Yan Hu, Liyang Fang +2
Retinal optical coherence tomography (OCT) and OCT angiography (OCTA) suffer from the degeneration of image quality due to speckle noise and bulk-motion noise, respectively. Becaus…
High signal-to-noise ratio reconstruction of low bit-depth optical coherence tomography using deep learning
Qiangjiang Hao, Kang Zhou, Jianlong Yang +6
Reducing the bit-depth is an effective approach to lower the cost of optical coherence tomography (OCT) systems and increase the transmission efficiency in data acquisition and tel…
Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning
Ting Zhou, Kang Zhou, Jianlong Yang +7
Optical coherence tomography angiography (OCTA) requires high transverse sampling density for visualizing retinal and choroidal capillaries. Low transverse sampling causes resoluti…
Eliminating Shadow Artifacts via Generative Inpainting Networks to Quantify Vascular Changes of the Choroid
Huihong Zhang, Jianlong Yang, Kang Zhou +5
Shadow artifacts from retinal vessels hinder the development of quantitative choroidal biomarkers in Optical Coherence Tomography (OCT), which limits the clinical applications of t…
Deep learning enables extraction of capillary-level angiograms from single OCT volume
Jianlong Yang, Peng Liu, Lixin Duan +2
Optical coherence tomography angiography (OCTA) has drawn numerous attentions in ophthalmology. However, its data acquisition is time-consuming, because it is based on temporal-dec…