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Medical foundation models are gaining prominence in the medical community for their ability to derive general representations from extensive collections of medical image-text pairs.
2017
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of North America, R.S.: RSNA pneumonia detection challenge (2018). https://www.rsna.org/rsnai/ai-image-challenge/rsna-pneumonia-detection-challenge-2018 (2018)
2018
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Gamper, J., Alemi Koohbanani, N., Benet, K., Khuram, A., Rajpoot, N.: Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification. In: Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10–13, 2019, Proceedings 15. pp. 11–19. Springer (2019)
2019
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2019
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Kather, J.N., Krisam, J., Charoentong, P., Luedde, T., Herpel, E., Weis, C.A., Gaiser, T., Marx, A., Valous, N.A., Ferber, D., et al.: Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study. PLoS medicine 16
2019
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2020
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2021
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2021
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2021
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Rahman, T., Khandakar, A., Qiblawey, Y., Tahir, A., Kiranyaz, S., Kashem, S.B.A., Islam, M.T., Al Maadeed, S., Zughaier, S.M., Khan, M.S., et al.: Exploring the effect of image enhancement techniques on covid-19 detection using chest x-ray images. Computers in biology and medicine 132
2021
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Feng, Y., Ma, B., Zhang, J., Zhao, S., Xia, Y., Tao, D.: Fiba: Frequency-injection based backdoor attack in medical image analysis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 20876–20885 (2022)
2022
Cited alongside, same era.
Li, Y., Jiang, Y., Li, Z., Xia, S.T.: Backdoor learning: A survey. IEEE Transactions on Neural Networks and Learning Systems (2022)
2022
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2022
Cited alongside, same era.
Zhou, K., Yang, J., Loy, C.C., Liu, Z.: Learning to prompt for vision-language models. International Journal of Computer Vision (IJCV) (2022)
2022
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2023
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2023
Later among the works it cites.
2023
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2023
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2023
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2023
Cited alongside, same era.
2023
Cited alongside, same era.
Huang, Z., Bianchi, F., Yuksekgonul, M., Montine, T.J., Zou, J.: A visual–language foundation model for pathology image analysis using medical twitter. Nature medicine 29
2023
Cited alongside, same era.
Jin, R., Li, X.: Backdoor attack and defense in federated generative adversarial network-based medical image synthesis. Medical Image Analysis 90
2023
Cited alongside, same era.
Schlarmann, C., Hein, M.: On the adversarial robustness of multi-modal foundation models. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 3677–3685 (2023)
2023
Cited alongside, same era.
Zhang, Y., Gao, J., Zhou, M., Wang, X., Qiao, Y., Zhang, S., Wang, D.: Text-guided foundation model adaptation for pathological image classification. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 272–282. Springer (2023)
2023
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2023
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Ikezogwo, W., Seyfioglu, S., Ghezloo, F., Geva, D., Sheikh Mohammed, F., Anand, P.K., Krishna, R., Shapiro, L.: Quilt-1m: One million image-text pairs for histopathology. Advances in Neural Information Processing Systems 36
2024
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2024
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