SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning

arXiv:2604.09887 · cs.LG · Submitted 2026-04-10 · Read on arXiv

cs.LG

Submitted: 2026-04-10

Updated: 2026-08-27

Code: https://github.com/igulluk/SemEnrich

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 51× in this paper · explained in 2 episodes
• Ablation — 22× in this paper · explained in 1 episode
• Ablation study — 14× in this paper · explained in 1 episode
• GRPO — 14× in this paper · explained in 6 episodes
• F1 Score — 7× in this paper · explained in 3 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• RAG — 4× in this paper · explained in 3 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Ablation Studies — 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
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• APEX — 1× in this paper · explained in 1 episode
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
• Generating Radiology Reports via Memory-driven Transformer
• RadVLM: A Multitask Conversational Vision-Language Model for Radiology
• 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
• MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
• ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports

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