Bing Wang

Affiliations:
  • Hebei University, School of Mathematics and Information Science, Hebei, China


According to our database1, Bing Wang authored at least 14 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Label-guided class similarity distillation for continual semantic segmentation.
Int. J. Mach. Learn. Cybern., June, 2026

A Multi-Scale Boundary-Enhanced Denoising Diffusion Network for Medical Image Segmentation.
Int. J. Imaging Syst. Technol., March, 2026

2025
Efficient hierarchical multiscale convolutional attention for accurate medical image segmentation.
Vis. Comput., October, 2025

Dual-decoder data decoupling training for semi-supervised medical image segmentation.
Biomed. Signal Process. Control., 2025

IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation.
Artif. Intell. Medicine, 2025

2024
A deep model towards accurate boundary location and strong generalization for medical image segmentation.
Biomed. Signal Process. Control., February, 2024

Dual-consistency guidance semi-supervised medical image segmentation with low-level detail feature augmentation.
Comput. Biol. Medicine, 2024

SGBTransNet: Bridging the semantic gap in medical image segmentation models using Transformers.
Biomed. Signal Process. Control., 2024

2023
CT-GAN: A conditional Generative Adversarial Network of transformer architecture for text-to-image.
Signal Process. Image Commun., July, 2023

2015
Sparse group composition for robust left ventricular epicardium segmentation.
Comput. Medical Imaging Graph., 2015

2013
The method of positioning moving human based on shape complexity.
Proceedings of the 15th IEEE International Conference on Communication Technology, 2013

Aortic valve segmentation from ultrasound images based on shape constraint CV model.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2010
An integration of top-down and bottom-up visual attention for categorization of natural scene images.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Saliency distinguishing and applications to semantics extraction and retrieval of natural image.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010


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