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

arXiv:2608.24121 · cs.CV · Submitted 2026-08-25 · Read on arXiv

cs.CV

Submitted: 2026-08-25

Updated: 2026-09-16

Terminology

• Alignment — 91× in this paper · explained in 1 episode
• Radiology Report Generation — 26× in this paper
• Knowledge Graph — 14× in this paper · explained in 7 episodes
• Semantic Alignment — 13× in this paper · explained in 3 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Regularization — 8× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Contrastive Learning — 6× in this paper · explained in 5 episodes
• Alignment Problem — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Granularity Mismatch — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Disease-Conditioned Node Regularization — 3× in this paper
• Instance-Conditioned Disease Matching — 3× in this paper
• Ontology — 3× in this paper · explained in 2 episodes
• AUROC — 2× in this paper · explained in 2 episodes
• Adjacency Matrix — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• Intra-Modal Semantic Consistency — 2× in this paper
• Alignment Methods — 1× in this paper · explained in 1 episode
• Disease-Conditioned Semantic Regularization — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Instance-Conditioned Semantic Matching — 1× in this paper
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Modality Gap — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• The Llama 3 Herd of Models
• RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
• MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
• Seeing What Matters: Lesion-Aware High-Resolution Patch Discovery and Fusion for Chest X-ray Report Generation
• RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
• MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
• BERTScore: Evaluating Text Generation with BERT
• MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

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