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20192023
most citedAutomatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning

55 citations · 167 across the 14 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CV2019

BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images

Huihong Zhang, Jianlong Yang, Kang Zhou +4

Choroid is the vascular layer of the eye, which is directly related to the incidence and severity of many ocular diseases. Optical Coherence Tomography (OCT) is capable of imaging…

eess.IV2019★ 19 cited

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…

eess.IV2019★ 4 cited

Perceptual-assisted Adversarial Adaptation for Choroid Segmentation in optical coherence tomography

Zhenjie Chai, Kang Zhou, Jianlong Yang +4

Accurate choroid segmentation in optical coherence tomography (OCT) image is vital because the choroid thickness is a major quantitative biomarker of many ocular diseases. Deep lea…

eess.IV2019

Knowledge infused cascade convolutional neural network for segmenting retinal vessels in volumetric optical coherence tomography

Liyang Fang, Jianlong Yang, Lei Mou +4

We present a cascade deep neural network to segment retinal vessels in volumetric optical coherence tomography (OCT). Two types of knowledge are infused into the network for confin…

eess.IV2019★ 29 cited

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…

eess.IV2019★ 1 cited

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…

physics.med-ph2019

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…

physics.med-ph2019★ 1 cited

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…