APA (7th ed.) Citation

Han, T., Žigutytė, L., Huck, L., Huppertz, M. S., Siepmann, R., Gandelsman, Y., . . . Truhn, D. (2024). Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining. Cell reports. Medicine, 5(9), . https://doi.org/10.1016/j.xcrm.2024.101713

Chicago Style (17th ed.) Citation

Han, Tianyu, et al. "Reconstruction of Patient-specific Confounders in AI-based Radiologic Image Interpretation Using Generative Pretraining." Cell Reports. Medicine 5, no. 9 (2024). https://doi.org/10.1016/j.xcrm.2024.101713.

MLA (9th ed.) Citation

Han, Tianyu, et al. "Reconstruction of Patient-specific Confounders in AI-based Radiologic Image Interpretation Using Generative Pretraining." Cell Reports. Medicine, vol. 5, no. 9, 2024, https://doi.org/10.1016/j.xcrm.2024.101713.