Heng Li

Orcid: 0000-0001-7754-7141

Affiliations:

Southern University of Science and Technology, Department of Computer Science and Engineering, Research Institute of Trustworthy Autonomous Systems, China

According to our database¹, Heng Li authored at least 34 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, April, 2024

Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model?

[BibT_eX]

[DOI]

CoRR, 2024

RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

Semi-ECNet: Edge-Consistency Based Semi-Supervised Retinal Vessel Segmentation Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

FD-SDG: Frequency Dropout Based Single Source Domain Generalization Framework for Retinal Vessel Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

A generic fundus image enhancement network boosted by frequency self-supervised representation learning.

[BibT_eX]

[DOI]

Medical Image Anal., December, 2023

CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., October, 2023

Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, January, 2023

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement.

[BibT_eX]

[DOI]

CoRR, 2023

A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling.

[BibT_eX]

[DOI]

CoRR, 2023

Learnable Ophthalmology SAM.

[BibT_eX]

[DOI]

CoRR, 2023

Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ACT-Net: Anchor-Context Action Detection in Surgery Videos.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Investigation and Analysis of Corneal Morphology in Young Divers.

[BibT_eX]

[DOI]

Proceedings of the Applied Intelligence - First International Conference, 2023

2022

An Annotation-Free Restoration Network for Cataractous Fundus Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2022

Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity.

[BibT_eX]

[DOI]

William Robert Kwapong

Ziyi Zhang

Hanpei Miao

Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component.

[BibT_eX]

[DOI]

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Temporal Context Framework for Endoscopy Artefact Segmentation and Detection.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

Domain Generalization in Restoration of Cataract Fundus Images Via High-Frequency Components.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation.