2.3k citations · 2.5k across the 15 of their papers we have counts for
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VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume
Hongye Zeng, kang Zhou, Songhan Ge +4
Three-dimensional (3D) ultrasound imaging technique has been applied for scoliosis assessment, but current assessment method only uses coronal projection image and cannot illustrat…
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…
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou, Yuting Xiao, Jianlong Yang +6
Anomaly detection in retinal image refers to the identification of abnormality caused by various retinal diseases/lesions, by only leveraging normal images in training phase. Norma…
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…
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…
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…