collaborators

5 papers

cs.CL2026

From Documents to Spans: Scalable Supervision for Evidence-Based ICD Coding with LLMs

Xu Zhang, Wenxin Ma, Chenxu Wu +5

International Classification of Diseases (ICD) coding assigns diagnosis codes to clinical documents and is essential for healthcare billing and clinical analysis. Reliable coding r…

cs.CV2026

DiffVP: Differential Visual Semantic Prompting for LLM-Based CT Report Generation

Yuhe Tian, Kun Zhang, Haoran Ma +4

While large language models (LLMs) have advanced CT report generation, existing methods typically encode 3D volumes holistically, failing to distinguish informative cues from redun…

cs.CV2026

QCAgent: An agentic framework for quality-controllable pathology report generation from whole slide image

Rundong Wang, Wei Ba, Ying Zhou +8

Recent methods for pathology report generation from whole-slide image (WSI) are capable of producing slide-level diagnostic descriptions but fail to ground fine-grained statements…

cs.AI2026

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM

Wenliang Li, Rui Yan, Xu Zhang +10

Large language models (LLMs) have shown promise in supporting medical diagnosis, with prompting-based methods offering a flexible and deployable means of capability enhancement. Ho…

cs.CV2026

Med3D-R1: Incentivizing Clinical Reasoning in 3D Medical Vision-Language Models for Abnormality Diagnosis

Haoran Lai, Zihang Jiang, Kun Zhang +6

Developing 3D vision-language models with robust clinical reasoning remains a challenge due to the inherent complexity of volumetric medical imaging, the tendency of models to over…