Lanfeng Zhong

Orcid: 0009-0004-3570-382X

According to our database1, Lanfeng Zhong authored at least 14 papers between 2022 and 2025.

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

Timeline

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Links

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Bibliography

2025
VLM-CPL: Consensus Pseudo-Labels From Vision-Language Models for Annotation-Free Pathological Image Classification.
IEEE Trans. Medical Imaging, October, 2025

MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation.
CoRR, September, 2025

CSAL-3D: Cold-Start Active Learning for 3D Medical Image Segmentation via SSL-Driven Uncertainty-Reinforced Diversity Sampling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

SUGFW: A SAM-Based Uncertainty-Guided Feature Weighting Framework for Cold Start Active Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024
Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency.
Pattern Recognit., 2024

VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image Classification.
CoRR, 2024

SEMI-CONTRANS: Semi-Supervised Medical Image Segmentation via Multi-Scale Feature Fusion and Cross Teaching of CNN and Transformer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images.
IEEE Trans. Medical Imaging, October, 2023

Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.
IEEE Trans. Medical Imaging, September, 2023

Brain Tumor Segmentation Based on Self-supervised Pre-training and Adaptive Region-Specific Loss.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
A Novel Unsupervised Autoencoder-Based HFOs Detector in Intracranial EEG Signals.
Proceedings of the IEEE International Conference on Acoustics, 2022


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