Awesome Radiology Report Generation
A curated list of radiology report generation (medical report generation) and related areas. :-)
Contributing
Please feel free to send me pull requests or email ([email protected]) to add links or to discuss with me about this area. Markdown format:
- [Paper Name](link) - Author 1 et al, `Conference Year`. [[code]](link)Table of Contents
Papers
Survey
- A Survey on Biomedical Image Captioning - Kougia V et al,
arXiv preprint 2019. - Deep learning in generating radiology reports: A survey - Monshi et al,
arXiv preprint 2020. - Diagnostic Captioning: A Survey - Pavlopoulos et al,
arXiv preprint 2021.
2016
- Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation - Shin H C et al,
CVPR 2016.
2017
- Mdnet: A semantically and visually interpretable medical image diagnosis network - Zhang Z et al,
CVPR 2017. - Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases - Wang X et al,
CVPR 2017. - Tandemnet: Distilling knowledge from medical images using diagnostic reports as optional semantic references - Zhang Z et al,
MICCAI 2017.
2018
- On the automatic generation of medical imaging reports - Jing B et al,
ACL 2018. - Textray: Mining clinical reports to gain a broad understanding of chest x-rays - Laserson J et al,
MICCAI 2018. - Hybrid retrieval-generation reinforced agent for medical image report generation - Li Y et al,
NIPS 2018.
2019
- Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports - Jing B et al,
ACL 2019. - Automatic radiology report generation based on multi-view image fusion and medical concept enrichment - Yuan et al,
MICCA 2019. - Addressing data bias problems for chest x-ray image report generation - Harzig P et al,
BMVC 2019. - Knowledge-driven encode, retrieve, paraphrase for medical image report generation - Li C Y et al,
AAAI 2019. - Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network - Yin et al,
ICDM 2019. - EEGtoText: Learning to Write Medical Reports from EEG Recordings - Biswal S et al,
PMLR 2019. - Multi-Attention and Incorporating Background Information Model for Chest X-Ray Image Report Generation - Huang X et al,
ACCESS 2019. - Baselines for Chest X-Ray Report Generation - Boag W et al,
arXiv preprint 2019. - Clinically accurate chest X-ray report generation - Liu G et al,
arXiv preprint 2019. - Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports - Zhang Y et al,
arXiv preprint 2019.
2020
- Generating Radiology Reports via Memory-driven Transformer - Chen Z et al,
EMNLP 2020. [code] - When Radiology Report Generation Meets Knowledge Graph - Zhang Y et al,
AAAI 2020.
2021
- Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation - Liu F et al,
CVPR 2021. - A Self-Boosting Framework for Automated Radiographic Report Generation - Wang Z et al,
CVPR 2021. - Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation - Yan A et al,
EMNLP 2021, findings. [code]
Dataset
- Preparing a collection of radiology examinations for distribution and retrieval - Demner-Fushman D et al,
JAMIA 2016. - MIMIC-CXR: a large publicly available database of labeled chest radiographs - Johnson A E W et al,
arXiv preprint 2019. - Padchest: A large chest x-ray image dataset with multi-label annotated reports - Bustos A et al,
arXiv preprint 2019.
Popular Implementations
PyTorch
Licenses
To the extent possible under law, Zhihong Chen has waived all copyright and related or neighboring rights to this work.