APA (7th ed.) Citation

Park, S. H., Choi, D. M., Jung, I., Chang, K. W., Kim, M. J., Jung, H. H., . . . Chang, W. S. (2022). Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: A proof of concept study. Biomedical Engineering Letters, 12(4), 359-367. https://doi.org/10.1007/s13534-022-00227-x

Chicago Style (17th ed.) Citation

Park, So Hee, Dong Min Choi, In-Ho Jung, Kyung Won Chang, Myung Ji Kim, Hyun Ho Jung, Jin Woo Chang, Hwiyoung Kim, and Won Seok Chang. "Clinical Application of Deep Learning-based Synthetic CT from Real MRI to Improve Dose Planning Accuracy in Gamma Knife Radiosurgery: A Proof of Concept Study." Biomedical Engineering Letters 12, no. 4 (2022): 359-367. https://doi.org/10.1007/s13534-022-00227-x.

MLA (9th ed.) Citation

Park, So Hee, et al. "Clinical Application of Deep Learning-based Synthetic CT from Real MRI to Improve Dose Planning Accuracy in Gamma Knife Radiosurgery: A Proof of Concept Study." Biomedical Engineering Letters, vol. 12, no. 4, 2022, pp. 359-367, https://doi.org/10.1007/s13534-022-00227-x.