Kang Li

Orcid: 0000-0002-0149-6912

Affiliations:

Chinese University of Hong Kong, Department of Computer Science and Engineering, Institute of Medical Intelligence and XR, Hong Kong

According to our database¹, Kang Li authored at least 18 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Unlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework.

[BibT_eX]

[DOI]

CoRR, April, 2026

Dual Domain-Attribute Learning Framework With Asynchronous Adapters for Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2026

Advancing radiograph representation learning via cascading graph alignment for vision-language clinical concepts.

[BibT_eX]

[DOI]

Xilin Dang

Kang Li

Pheng-Ann Heng

Medical Image Anal., 2026

Tackling missing modalities with memory-efficient modality-complementary prompt learning for robust brain tumor segmentation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

2025

Enhancing source-free domain adaptation in Medical Image Segmentation via regulated model self-training.

[BibT_eX]

[DOI]

Medical Image Anal., 2025

2024

Synthesizing Feature-Aligned and Category-Aware Electronic Medical Records for Intracranial Aneurysm Rupture Prediction.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, December, 2024

A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, June, 2024

Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Multi-class plaque segmentation in Intravascular Ultrasound via inter-frame feature fusion and contrast feature extraction.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening.

[BibT_eX]

[DOI]

Kang Li

Lequan Yu

Pheng-Ann Heng

IEEE Trans. Medical Imaging, March, 2023

2022

Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references.

[BibT_eX]

[DOI]

Kang Li

Lequan Yu

Pheng-Ann Heng

Medical Image Anal., 2022

2021

Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

2020

DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Retina Image Synthesis via Disentangled Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Kang Li

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