Li Li

Orcid: 0000-0002-3848-3621

Affiliations:
  • Chongqing University of Technology, College of Artificial Intelligence, China


According to our database1, Li Li authored at least 12 papers between 2023 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Expert guidance and partially-labeled data collaboration for multi-organ segmentation.
Neural Networks, 2025

Texture-preserving diffusion model for CBCT-to-CT synthesis.
Medical Image Anal., 2025

2024
DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision.
Neural Comput. Appl., May, 2024

UCFilTransNet: Cross-Filtering Transformer-based network for CT image segmentation.
Expert Syst. Appl., March, 2024

Learning high-order spatial interactions and cascaded attention decoding for MRI-based ventricular segmentation.
Biomed. Signal Process. Control., 2024

SRECT: Machine-Specific Spatial-Resolution Enhancement in Computed Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
MSMCNet: Differential context drives accurate localization and edge smoothing of lesions for medical image segmentation.
Comput. Biol. Medicine, December, 2023

Transformers in medical image segmentation: A review.
Biomed. Signal Process. Control., July, 2023

MFMANet: Multi-feature Multi-attention Network for efficient subtype classification on non-small cell lung cancer CT images.
Biomed. Signal Process. Control., July, 2023

SAUNet++: an automatic segmentation model of COVID-19 lesion from CT slices.
Vis. Comput., 2023

Label-Efficient Cross-Resolution Polyp Segmentation in Colonoscopy.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

Federated Multi-organ Dynamic Attention Segmentation Network with Small CT Dataset.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023


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