APA (7th ed.) Citation

GY, K., HS, Y., J, H., K, L., JW, C., WS, J., . . . M, L. (2026). Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition. Journal of imaging informatics in medicine, 39(3), 2095. https://doi.org/10.1007/s10278-025-01612-5

Chicago Style (17th ed.) Citation

GY, Kim, Yang HS, Hwang J, Lee K, Choi JW, Jung WS, Kim REY, Kim D, and Lee M. "Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition." Journal of Imaging Informatics in Medicine 39, no. 3 (2026): 2095. https://doi.org/10.1007/s10278-025-01612-5.

MLA (9th ed.) Citation

GY, Kim, et al. "Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition." Journal of Imaging Informatics in Medicine, vol. 39, no. 3, 2026, p. 2095, https://doi.org/10.1007/s10278-025-01612-5.