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Springer Science and Business Media LLC
Reference18 articles.
1. Herrington J, McCradden MD, Creel K et al (2023) Ethical considerations for artificial intelligence in medical imaging: data collection, development, and evaluation. J Nucl Med 64:1848–1854
2. Whitney HM, Baughan N, Myers K, et al. (2023) Longitudinal assessment of demographic representativeness in the medical imaging and data resource center open data commons. J Medical Imaging— in press. https://arvix.org/abs/2303.10501
3. Federov A, Longabaugh WJR, Pot D et al (2023) National cancer institute imaging data commons: towards transparency, reproducibility, and scalability in imaging artificial intelligence. Radiographics 43:1–14
4. Drukker K, Chen W, Gichoya J et al (2023) Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. J Med Imaging. https://doi.org/10.1117/1.JMI.10.6.061104
5. Mitchell M, Wu S, Zaldivar A, et al. (2019) Model cards for model reporting. Association of Computing Machinery. https://doi.org/10.1145/3287560.3287596
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