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Expand Up @@ -24,7 +24,26 @@ Please read these instructions:
- You can choose to submit a short (4 pages) or a long paper (8 pages).
- The shared task paper will undergo a "light" review process, focusing on aspects such as understandability, articulation, formatting, and overall style.
- Send a one-paragraph summary to jbdel [at] stanford dot edu about your best system, as well as your paper name, so it can be included in the overview paper.
- Make sure the following metrics are reported and correctly cited:
- Make sure your paper contains the proper reference to
1) The overview paper:
```bibtex
@inproceedings{xu-etal-2024-overview,
title = "Overview of the First Shared Task on Clinical Text Generation: RRG24 and {``}Discharge Me!{''}",
author = "Xu, Justin and
Chen, Zhihong and
Johnston, Andrew and
Blankemeier, Louis and
Varma, Maya and
Langlotz, Curtis and
Delbrouck, Jean-Benoit",
booktitle = "The 23rd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
}
```
2) The metrics
- BLEU4
```bibtex
@inproceedings{papineni2002bleu,
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year={2022}
}
```
3) The datasets
- Mimic-cxr
```bibtex
@article{johnson2019mimic,
title={MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports},
author={Johnson, Alistair EW and Pollard, Tom J and Berkowitz, Seth J and Greenbaum, Nathaniel R and Lungren, Matthew P and Deng, Chih-ying and Mark, Roger G and Horng, Steven},
journal={Scientific data},
volume={6},
number={1},
pages={317},
year={2019},
publisher={Nature Publishing Group UK London}
}
```
- Chexpert
```bibtex
@article{chambon2024chexpert,
title={CheXpert Plus: Hundreds of Thousands of Aligned Radiology Texts, Images and Patients},
author={Chambon, Pierre and Delbrouck, Jean-Benoit and Sounack, Thomas and Huang, Shih-Cheng and Chen, Zhihong and Varma, Maya and Truong, Steven QH and Chuong, Chu The and Langlotz, Curtis P.},
year={2024}
}
The metrics packages and the leaderboard that made this challenge possible were provided thanks to ViLMedic. Please include it in your submission:
```
- Padchest
```bibtex
@article{bustos2020padchest,
title={Padchest: A large chest x-ray image dataset with multi-label annotated reports},
author={Bustos, Aurelia and Pertusa, Antonio and Salinas, Jose-Maria and De La Iglesia-Vaya, Maria},
journal={Medical image analysis},
volume={66},
pages={101797},
year={2020},
publisher={Elsevier}
}
```
- BIMCV COVID-19
```bibtex
@article{vaya2020bimcv,
title={BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients},
author={Vay{\'a}, Maria De La Iglesia and Saborit, Jose Manuel and Montell, Joaquim Angel and Pertusa, Antonio and Bustos, Aurelia and Cazorla, Miguel and Galant, Joaquin and Barber, Xavier and Orozco-Beltr{\'a}n, Domingo and Garc{\'\i}a-Garc{\'\i}a, Francisco and others},
journal={arXiv preprint arXiv:2006.01174},
year={2020}
}
```
4) The metrics packages and the leaderboard that made this challenge possible were provided thanks to ViLMedic. Please include it in your submission:
```bibtex
@inproceedings{delbrouck2022vilmedic,
title={ViLMedic: a framework for research at the intersection of vision and language in medical AI},
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