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Radiology Report Generation/Medical Report Generation/Image Captioning

Years:

• 2024
• 2023
• 2022
• 2021
• 2020
• 2019

2024

• Simulating doctors’ thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning, Medical Image Analysis. |pdf|code|
• Memory Guided Transformer With Spatio-Semantic Visual Extractor for Medical Report Generation, IJBHI. |pdf|
• Multi-Grained Radiology Report Generation With Sentence-Level Image-Language Contrastive Learning, TMI. |pdf|
• Complex Organ Mask Guided Radiology Report Generation, WACV. |pdf| code|
• TSGET: Two-Stage Global Enhanced Transformer for Automatic Radiology Report Generation, IEEE J-BHI. |pdf| code|
• Promptmrg: Diagnosis-driven prompts for medical report generation, AAAI |pdf|code|
• Bootstrapping Large Language Models for Radiology Report Generation, AAAI |pdf|code|

2023

• Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting, EMNLP. |pdf|
• PhenotypeCLIP: Phenotype-based Contrastive Learning for Medical Imaging Report Generation , EMNLP. |pdf|
• RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning, EMNLP. |pdf| code|
• CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation, IEEE J-BHI. |pdf| code|
• R2GenGPT: Radiology Report Generation with Frozen LLMs, Meta Radiology. |pdf| code|
• Replace and Report: NLP Assisted Radiology Report Generation, ACL. |pdf|
• ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning, ACL. |pdf| code|
• Can Prompt Learning Benefit Radiology Report Generation?, Arxiv. |pdf|
• A Systematic Review of Deep Learning-based Research on Radiology Report Generation, arXiv. |pdf|code|
• 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|

2022

• 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|

2021

• 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

2020

• 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|

2019

• Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech, CVPR. |pdf|