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 12 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation.
IEEE Trans. Medical Imaging, June, 2024

Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm.
Expert Syst. Appl., 2024

Multi-class plaque segmentation in Intravascular Ultrasound via inter-frame feature fusion and contrast feature extraction.
Biomed. Signal Process. Control., 2024

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification.
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.
IEEE Trans. Medical Imaging, March, 2023

2022
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references.
Medical Image Anal., 2022

2021
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation.
IEEE Trans. Medical Imaging, 2021

2020
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets.
IEEE Trans. Medical Imaging, 2020

Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Retina Image Synthesis via Disentangled Representation Learning.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019


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