Lei Li

Orcid: 0000-0002-1500-7446

Affiliations:
  • Xiamen University, Department of Software Engineering, Fujian, China


According to our database1, Lei Li authored at least 13 papers between 2020 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling.
Medical Image Anal., 2025

2024
Learning multi-organ and tumor segmentation from partially labeled datasets by a conditional dynamic attention network.
Concurr. Comput. Pract. Exp., 2024

Contour-aware consistency for semi-supervised medical image segmentation.
Biomed. Signal Process. Control., 2024

VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction.
Comput. Biol. Medicine, August, 2023

TSRL-Net: Target-aware supervision residual learning for stroke segmentation.
Comput. Biol. Medicine, June, 2023

Learning multi-organ segmentation via partial- and mutual-prior from single-organ datasets.
Biomed. Signal Process. Control., 2023

2022
Symmetrical Supervision with Transformer for Few-shot Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Global and Local Enhanced Residual U-Net for Accurate Retinal Vessel Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A weakly supervised tooth-mark and crack detection method in tongue image.
Concurr. Comput. Pract. Exp., 2021

Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
SERU: A cascaded SE-ResNeXT U-Net for kidney and tumor segmentation.
Concurr. Comput. Pract. Exp., 2020

An iterative transfer learning framework for cross-domain tongue segmentation.
Concurr. Comput. Pract. Exp., 2020


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