130 citations · 447 across the 14 of their papers we have counts for
6 papers · 1 filter
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection
Zhenrong Shen, Xi Ouyang, Bin Xiao +3
Lung nodule detection in chest X-ray (CXR) images is common to early screening of lung cancers. Deep-learning-based Computer-Assisted Diagnosis (CAD) systems can support radiologis…
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis
Sheng Wang, Xi Ouyang, Tianming Liu +2
When deep neural network (DNN) was first introduced to the medical image analysis community, researchers were impressed by its performance. However, it is evident now that a large…
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution
Zixu Zhuang, Liping Si, Sheng Wang +8
Knee osteoarthritis (OA) is the most common osteoarthritis and a leading cause of disability. Cartilage defects are regarded as major manifestations of knee OA, which are visible b…
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
Zheren Li, Zhiming Cui, Sheng Wang +7
Lesion detection is a fundamental problem in the computer-aided diagnosis scheme for mammography. The advance of deep learning techniques have made a remarkable progress for this t…
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography
Sheng Wang, Jiayu Huo, Xi Ouyang +5
Computer-aided diagnosis with deep learning techniques has been shown to be helpful for the diagnosis of the mammography in many clinical studies. However, the image styles of diff…
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency
Jiayu Huo, Liping Si, Xi Ouyang +6
Knee osteoarthritis (OA) is one of the most common musculoskeletal disorders and requires early-stage diagnosis. Nowadays, the deep convolutional neural networks have achieved grea…