3 papers
cs.AI2026
MAC-RRG: Iterative Multi-Agent Collaboration for X-ray Radiology Report Generation
Futian Wang, Yuhan Qiao, Xiao Wang +5
Despite the remarkable progress of LLM-based and knowledge graph-augmented Radiology Report Generation (RRG) methods, existing techniques still suffer from inherent defects. Conven…
cs.CV2025
EMRRG: Efficient Fine-Tuning Pre-trained X-ray Mamba Networks for Radiology Report Generation
Mingzheng Zhang, Jinfeng Gao, Dan Xu +5
X-ray image-based medical report generation (MRG) is a pivotal area in artificial intelligence that can significantly reduce diagnostic burdens for clinicians and patient wait time…
cs.CV2025
R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation
Futian Wang, Yuhan Qiao, Xiao Wang +3
X-ray medical report generation is one of the important applications of artificial intelligence in healthcare. With the support of large foundation models, the quality of medical r…