5 papers
Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation
Shiwei Zhou, Xin Liu, Haifeng Zhao +2
In semi-supervised medical image segmentation, the poor quality of unlabeled data and the uncertainty in the model's predictions lead to models that inevitably produce erroneous ps…
Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation
Huanli Zhuo, Leilei Ma, Haifeng Zhao +3
Although SAM-based single-source domain generalization models for medical image segmentation can mitigate the impact of domain shift on the model in cross-domain scenarios, these m…
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
LeiLei Ma, Shuo Xu, MingKun Xie +3
Modeling label correlations has always played a pivotal role in multi-label image classification (MLC), attracting significant attention from researchers. However, recent studies h…
Bridging Vision and Language: Optimal Transport-Driven Radiology Report Generation via LLMs
Haifeng Zhao, Yufei Zhang, Leilei Ma +2
Radiology report generation represents a significant application within medical AI, and has achieved impressive results. Concurrently, large language models (LLMs) have demonstrate…
Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning
Haifeng Zhao, Yuguang Jin, Leilei Ma
Significant advancements have been made in single label incremental learning (SLCIL),yet the more practical and challenging multi label class incremental learning (MLCIL) remains u…