paper list, dataset, and tools for radiology report generation
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Updated
Jun 15, 2025
paper list, dataset, and tools for radiology report generation
The official GitHub repository of the survey paper "A Systematic Review of Deep Learning-based Research on Radiology Report Generation".
[ECCV2022] The official implementation of Cross-modal Prototype Driven Network for Radiology Report Generation
Awesome radiology report generation and image captioning papers.
The official GitHub repository of the AAAI-2024 paper "Bootstrapping Large Language Models for Radiology Report Generation".
Code for the paper "ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning" (ACL'23).
[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
A curated list of awesome resources, papers, datasets, and tools related to AI in radiology. This repository aims to provide a comprehensive collection of materials to facilitate research, learning, and development in the field of AI-powered radiology.
Code for the paper "RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning" (EMNLP'23 Findings).
[MICCAI'24] Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation
Code for the paper "ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation" (EMNLP'24 Findings).
Code for the paper "RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection" (ACL'25).
[ACL 2025] ⚖️ Temporally-aware MLLM for Biomedical Radiology Analysis and Report Generation. Flexible toolkit with LLM backbone support, real-time validation, training resumption, and smart model saving.
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
[IJBHI 2024] This is the official implementation of CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation accepted to IEEE Journal of Biomedical and Health Informatics (J-BHI), 2023.
EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge
A Python package for evaluating radiology report generation using multiple standard and medical-specific metrics.
RadioCare: Fighting Inefficiencies in Medical Imaging
Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components
AI-powered Chest X-ray report generation app using VLM (Swin-T5) and LLM (LLaMA-3) for multilingual Q&A and medical education support.
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