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".

[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray 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).

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 "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 MLLM backbone support, real-time validation, training resumption, and smart model saving.

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

Factual Serialization Enhancement: A Key Innovation 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).

[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.

This is the official implementation of MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement accepted to IEEE Journal of Biomedical and Health Informatics (J-BHI), 2025.

📷 CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding — A flexible, plug-and-play toolkit for various radiology MLLM backbones, further boosting overall performance

AI-powered Chest X-ray report generation app using VLM (Swin-T5) and LLM (LLaMA-3) for multilingual Q&A and medical education support.

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.

ThaiRIS Version 1.8 Free OpenSource Radiology Information system (RIS)

[IJCNN 2025] [Official code] - MicarVLMoE: A modern gated cross-aligned vision-language mixture of experts model for medical image captioning and report generation

Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components

RadioCare: Fighting Inefficiencies in Medical Imaging

[EMNLP 2025 Main] CREPE: Rapid Chest X-ray Report Evaluation by Predicting Multi-category Error Counts

Supplementary material for "Reshaping free-text radiology notes into structured reports with generative transformers"

[IVC 2025] [Official code] - Enhancing radiology report generation: A prior knowledge-aware transformer network for effective alignment and fusion of multi-modal radiological data

Free and open source medical imaging reporting AI agent

Source code for our AMIA 2025 paper (oral): "A Clinically-Informed Framework for Evaluating Vision-Language Models in Radiology Report Generation: Taxonomy of Errors and Risk-Aware Metric"

Fine-tuned Large Language Models to generate detailed radiology reports from chest X-ray images