Zhanyu Wang

Graph-Supervised Hierarchical Clinical Alignment for Radiology Report Generation with Large Language Models

This work proposes Graph-Supervised Hierarchical Clinical Alignment, which reformulates image-report supervision as a hierarchical clinical alignment problem, and combines instance-conditioned discriminative matching with disease-conditioned soft regularization, enabling fine-grained yet clinically consistent cross-mod...