Yufeng Chen
Orcid: 0009-0001-0181-065XAffiliations:
- Southwest University of Science and Technology, School of Information Engineering, Mianyang, China
According to our database1,
Yufeng Chen
authored at least 16 papers
between 2023 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, February, 2025
TBE-Net: A Deep Network Based on Tree-Like Branch Encoder for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, January, 2025
Deep multi-view subspace clustering via hierarchical diversity optimization of consensus learning.
Inf. Process. Manag., 2025
Appl. Soft Comput., 2025
2024
J. Supercomput., September, 2024
FAFS-UNet: Redesigning skip connections in UNet with feature aggregation and feature selection.
Comput. Biol. Medicine, March, 2024
Neural Networks, 2024
Cross-layer self-representation enhanced deep subspace clustering with self-supervision.
Inf. Sci., 2024
FCSU-Net: A novel full-scale Cross-dimension Self-attention U-Net with collaborative fusion of multi-scale feature for medical image segmentation.
Comput. Biol. Medicine, 2024
MixUNet: A lightweight medical image segmentation network capturing multidimensional semantic information.
Biomed. Signal Process. Control., 2024
2023
Neural Process. Lett., December, 2023
UcUNet: A lightweight and precise medical image segmentation network based on efficient large kernel U-shaped convolutional module design.
Knowl. Based Syst., October, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
CTW-Net: A Deeper Multiscale Feature Fusion W-Shaped Network for Medical Image Segmentation.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023
Multi-view deep subspace clustering with multilevel self-representation matrix fusion.
Proceedings of the 2nd International Conference on Algorithms, 2023