Radiology Report Generation/Medical Report Generation/Image Captioning
- METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens, CVPR. |pdf|
- KiUT: Knowledge-injected U-Transformer for Radiology Report Generation, CVPR. |pdf|
- Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation, CVPR. |pdf|code|
- Radiology report generation with a learned knowledge base and multi-modal alignment, Medical Image Analysis,|pdf|code|
- Injecting Semantic Concepts into End-to-End Image Captioning, CVPR. |pdf|code|
- PTSN: Progressive Tree-Structured Prototype Networ, ACM MM. |pdf|code|
- Reinforced Cross-modal Alignment for Radiology Report Generation, ACL Findings. |pdf|
- Uncertainty-aware report generation for chest X-rays by variational topic inference, Medical Image Analysis. |pdf|code|
- Automated Radiographic Report Generation Purely On Transformer: A Multi-criteria Supervised Approach, TMI. |pdf|
- Cross-modal Prototype Driven Network for Radiology Report Generation, ECCV. |pdf|code|
- Radiology Report Generation with General and Specific Knowledge, Medical Image Analysis,|pdf|
- Cross-modal Memory Networks for Radiology Report Generation, ACL Main. |pdf|code|
- A Self-boosting Framework for Automated Radiographic Report Generation, CVPR. |pdf|
- Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network, AAAI. |pdf|code|
- Contrastive Attention for Automatic Chest X-ray Report Generation, ACL Findings. |pdf|
- RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting, MICCAI. |pdf|
- Competence-based Multimodal Curriculum Learning for Medical Report Generation, ACL | pdf
- Comprehensive Image Captioning via Scene Graph Decomposition, ECCV. |pdf|code|
- Generating Radiology Reports via Memory-driven Transformer, EMNLP Main. |pdf|code|
- Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation, NAACL Main |pdf|code|
- Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech, CVPR. |pdf|