[ECCV2022] The official implementation of Cross-modal Prototype Driven Network for Radiology Report Generation

Code for the paper "ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning" (ACL'23).

The official GitHub repository of the AAAI-2024 paper "Bootstrapping Large Language Models for Radiology Report Generation".

Code for the paper "RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning" (EMNLP'23 Findings).

Code for the paper "ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation" (EMNLP'24 Findings).

[MICCAI'24] Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

[IJBHI 2023] 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.

Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components

A Python package for evaluating radiology report generation using multiple standard and medical-specific metrics.

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

[Paper][Official code] - Engaging preference optimization alignment in large language model for continual radiology report generation: A hybrid approach

Code for the paper "Libra: Leveraging Temporal Images for Biomedical Radiology Analysis"