2 papers
cs.CV2026
Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence
Rui Hao, Qiankun Li, Junyuan Mao +4
Multimodal large language models (MLLMs) show strong promise for clinical VQA and radiology report generation, yet inference-time hallucinations still undermine trustworthy use: mo…
eess.IV2025
Multi-scale Cascaded Foundation Model for Whole-body Organs-at-risk Segmentation
Rui Hao, Dayu Tan, Qiankun Li +3
Accurate segmentation of organs-at-risk (OARs) is vital for safe and precise radiotherapy and surgery. Most existing studies segment only a limited set of organs or regions, lackin…