Kun Wang

According to our database, Kun Wang authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

GSAL: Geometric structure adversarial learning for robust medical image segmentation.

Kun Wang, Xiaohong Zhang, Yuting Lu, Wei Zhang, Sheng Huang, Dan Yang

Pattern Recognit., August, 2023

Learning contextual representations with copula function for medical image segmentation.

Yuting Lu, Kun Wang, Wei Zhang, Jin Xie, Sheng Huang, Dan Yang, Xiaohong Zhang

Biomed. Signal Process. Control., August, 2023

2022

EANet: Iterative edge attention network for medical image segmentation.

Kun Wang, Xiaohong Zhang, Xiangbo Zhang, Yuting Lu, Sheng Huang, Dan Yang

Pattern Recognit., 2022

CGRNet: Contour-guided graph reasoning network for ambiguous biomedical image segmentation.

Kun Wang, Xiaohong Zhang, Yuting Lu, Xiangbo Zhang, Wei Zhang

Biomed. Signal Process. Control., 2022

A Probabilistic Model for Controlling Diversity and Accuracy of Ambiguous Medical Image Segmentation.

Wei Zhang, Xiaohong Zhang, Sheng Huang, Yuting Lu, Kun Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PixelSeg: Pixel-by-Pixel Stochastic Semantic Segmentation for Ambiguous Medical Images.

Wei Zhang, Xiaohong Zhang, Sheng Huang, Yuting Lu, Kun Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules.

Kun Wang, Xiangbo Zhang, Xiaohong Zhang, Sheng Huang, Jingqin Li, Luwen Huangfu

Biomed. Signal Process. Control., 2021

Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks.

Xiangbo Zhang, Kun Wang, Xiaohong Zhang, Sheng Huang

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection.

Jingqin Li, Kun Wang, Dan Yang, Xiaohong Zhang, Chen Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks.

Kun Wang, Xiaohong Zhang, Sheng Huang, Feiyu Chen, Xiangbo Zhang, Luwen Huangfu

IEEE Access, 2020

Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features.

Qiuli Wang, Xingpeng Zhang, Wei Chen, Kun Wang, Xiaohong Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network.

Kun Wang, Xiaohong Zhang, Sheng Huang, Qiuli Wang, Feiyu Chen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation.

Wei Chen, Qiuli Wang, Kun Wang, Dan Yang, Xiaohong Zhang, Chen Liu, Yucong Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification.

Weixin Xu, Kun Wang, Jingkai Lin, Yuting Lu, Sheng Huang, Xiaohong Zhang

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Automatic Detection of Pneumonia in Chest X-Ray Images Using Cooperative Convolutional Neural Networks.

Kun Wang, Xiaohong Zhang, Sheng Huang, Feiyu Chen

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification.

Kun Wang, Xiaohong Zhang, Sheng Huang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019