55 citations · 167 across the 14 of their papers we have counts for
14 papers
Cross-attention learning enables real-time nonuniform rotational distortion correction in OCT
Haoran Zhang, Jianlong Yang, Jingqian Zhang +2
Nonuniform rotational distortion (NURD) correction is vital for endoscopic optical coherence tomography (OCT) imaging and its functional extensions, such as angiography and elastog…
Annotation-efficient learning for OCT segmentation
Haoran Zhang, Jianlong Yang, Ce Zheng +2
Deep learning has been successfully applied to OCT segmentation. However, for data from different manufacturers and imaging protocols, and for different regions of interest (ROIs),…
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Kang Zhou, Jing Li, Weixin Luo +6
Anomaly detection in medical images refers to the identification of abnormal images with only normal images in the training set. Most existing methods solve this problem with a sel…
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Lei Mou, Yitian Zhao, Huazhu Fu +9
Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and biomedical images is a crucial early step in automatic image interpretation ass…
Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences
Huaying Hao, Huazhu Fu, Yanwu Xu +5
Anterior chamber angle (ACA) classification is a key step in the diagnosis of angle-closure glaucoma in Anterior Segment Optical Coherence Tomography (AS-OCT). Existing automated a…
Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning
Huihong Zhang, Jianlong Yang, Kang Zhou +6
The choroid provides oxygen and nourishment to the outer retina thus is related to the pathology of various ocular diseases. Optical coherence tomography (OCT) is advantageous in v…
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…
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…
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…
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…
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…