Kun Wang
Orcid: 0000-0002-4794-2359Affiliations:
- Chongqing University, School of Big Data and Software Engineering, China
According to our database1,
Kun Wang
authored at least 23 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Mach. Vis. Appl., January, 2025
2024
EnsCLR: Unsupervised skeleton-based action recognition via ensemble contrastive learning of representation.
Comput. Vis. Image Underst., 2024
Deep convolutional dictionary learning network for sparse view CT reconstruction with a group sparse prior.
Comput. Methods Programs Biomed., 2024
Artifact suppression for sparse view CT via transformer-based generative adversarial network.
Biomed. Signal Process. Control., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning for Visual Story Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
GSAL: Geometric structure adversarial learning for robust medical image segmentation.
Pattern Recognit., August, 2023
Learning contextual representations with copula function for medical image segmentation.
Biomed. Signal Process. Control., August, 2023
2022
Pattern Recognit., 2022
CGRNet: Contour-guided graph reasoning network for ambiguous biomedical image segmentation.
Biomed. Signal Process. Control., 2022
A Probabilistic Model for Controlling Diversity and Accuracy of Ambiguous Medical Image Segmentation.
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.
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.
Biomed. Signal Process. Control., 2021
Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection.
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.
IEEE Access, 2020
Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation.
IEEE Access, 2020
Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification.
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.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019
KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019