111 citations · 118 across the 5 of their papers we have counts for
6 papers
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
Xiangyu Zhao, Zengxin Qi, Sheng Wang +4
Medical image segmentation methods are generally designed as fully-supervised to guarantee model performance, which require a significant amount of expert annotated samples that ar…
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation
Xiangyu Zhao, Di Zang, Sheng Wang +10
Brain network analysis for traumatic brain injury (TBI) patients is critical for its consciousness level assessment and prognosis evaluation, which requires the segmentation of cer…
Building a 3-Player Mahjong AI using Deep Reinforcement Learning
Xiangyu Zhao, Sean B. Holden
Mahjong is a popular multi-player imperfect-information game developed in China in the late 19th-century, with some very challenging features for AI research. Sanma, being a 3-play…
Wavelet-Attention CNN for Image Classification
Zhao Xiangyu
The feature learning methods based on convolutional neural network (CNN) have successfully produced tremendous achievements in image classification tasks. However, the inherent noi…
Morphable Detector for Object Detection on Demand
Xiangyun Zhao, Xu Zou, Ying Wu
Many emerging applications of intelligent robots need to explore and understand new environments, where it is desirable to detect objects of novel classes on the fly with minimum o…
Prior Attention Network for Multi-Lesion Segmentation in Medical Images
Xiangyu Zhao, Peng Zhang, Fan Song +5
The accurate segmentation of multiple types of lesions from adjacent tissues in medical images is significant in clinical practice. Convolutional neural networks (CNNs) based on th…