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awesome-radiology-report-generation
A curated list of radiology report generation (medical report generation) and related areas. :-)
https://github.com/zhjohnchan/awesome-radiology-report-generation
Last synced: 3 days ago
JSON representation
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Popular Implementations
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PyTorch
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Papers
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2018
- Textray: Mining clinical reports to gain a broad understanding of chest x-rays - Laserson J et al, `MICCAI 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`.
- On the automatic generation of medical imaging reports - Jing B et al, `ACL 2018`.
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2019
- Automatic radiology report generation based on multi-view image fusion and medical concept enrichment - Yuan et al, `MICCA 2019`.
- Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports - Jing B et al, `ACL 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`.
- Multi-Attention and Incorporating Background Information Model for Chest X-Ray Image Report Generation - Huang X et al, `ACCESS 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`.
- Addressing data bias problems for chest x-ray image report generation - Harzig P et al, `BMVC 2019`.
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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`.
- Diagnostic Captioning: A Survey - Pavlopoulos et al, `arXiv preprint 2021`.
- 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`.
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2016
- Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation - Shin H C et al, `CVPR 2016`.
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2017
- Tandemnet: Distilling knowledge from medical images using diagnostic reports as optional semantic references - Zhang Z et al, `MICCAI 2017`.
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2020
- Generating Radiology Reports via Memory-driven Transformer - Chen Z et al, `EMNLP 2020`. [[code]](https://github.com/zhjohnchan/R2Gen)
- When Radiology Report Generation Meets Knowledge Graph - Zhang Y et al, `AAAI 2020`.
- When Radiology Report Generation Meets Knowledge Graph - Zhang Y et al, `AAAI 2020`.
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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]](https://github.com/zzxslp/WCL)
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Dataset
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2021
- Padchest: A large chest x-ray image dataset with multi-label annotated reports - Bustos A 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`.
- 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`.
- Preparing a collection of radiology examinations for distribution and retrieval - Demner-Fushman D et al, `JAMIA 2016`.
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Contributing
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Licenses
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PyTorch
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Programming Languages