activity
20192022
most citedShape-Aware Organ Segmentation by Predicting Signed Distance Maps

13 citations · 24 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV20211 cited

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

Yuan Xue, Yuan-Chen Guo, Han Zhang +3

In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have…

cs.CV20205 cited

Synthetic Sample Selection via Reinforcement Learning

Jiarong Ye, Yuan Xue, L. Rodney Long +4

Synthesizing realistic medical images provides a feasible solution to the shortage of training data in deep learning based medical image recognition systems. However, the quality c…

cs.CV2020

SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos

Haomiao Ni, Yuan Xue, Qian Zhang +1

General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for the early detection of cerebral palsy (CP) in infants. Automated body parsing is a cru…

cs.CV2020

Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network

Yanglan Ou, Yuan Xue, Ye Yuan +4

Cervical cancer is the second most prevalent cancer affecting women today. As the early detection of cervical carcinoma relies heavily upon screening and pre-clinical testing, digi…

cs.CV201913 cited

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps

Yuan Xue, Hui Tang, Zhi Qiao +6

In this work, we propose to resolve the issue existing in current deep learning based organ segmentation systems that they often produce results that do not capture the overall sha…

cs.CV20194 cited

Selective Synthetic Augmentation with Quality Assurance

Yuan Xue, Jiarong Ye, Rodney Long +3

Supervised training of an automated medical image analysis system often requires a large amount of expert annotations that are hard to collect. Moreover, the proportions of data av…