X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation

Author:

van Sonsbeek Tom,Worring Marcel

Publisher

Springer Nature Switzerland

Reference37 articles.

1. Chambon, P., et al.: RoentGen: vision-language foundation model for chest x-ray generation. arXiv preprint arXiv:2211.12737 (2022)

2. Endo, M., Krishnan, R., Krishna, V., Ng, A.Y., Rajpurkar, P.: Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model. In: Machine Learning for Health, pp. 209–219. PMLR (2021)

3. Eslami, S., de Melo, G., Meinel, C.: Does CLIP benefit visual question answering in the medical domain as much as it does in the general domain? arXiv e-prints arXiv:2112.13906 (Dec 2021)

4. Gur, S., Neverova, N., Stauffer, C., Lim, S.N., Kiela, D., Reiter, A.: Cross-modal retrieval augmentation for multi-modal classification. In: Findings of EMNLP 2021, pp. 111–123 (2021)

5. Guu, K., Lee, K., Tung, Z., Pasupat, P., Chang, M.: Retrieval augmented language model pre-training. In: ICML, pp. 3929–3938 (2020)

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