Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging


Journal article


Brianna L. Vey, Judy W. Gichoya, Adam Prater, C. Matthew Hawkins
Journal of The American College of Radiology, vol. 16(9), 2019 Jul 31, pp. 1273-1278

Cite

APA
Vey, B. L., Gichoya, J. W., Prater, A., & Hawkins, C. M. (2019). The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging. Journal of The American College of Radiology, 16(9), 1273–1278.

Chicago/Turabian
Vey, Brianna L., Judy W. Gichoya, Adam Prater, and C. Matthew Hawkins. “The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging.” Journal of The American College of Radiology 16, no. 9 (July 31, 2019): 1273–1278.

MLA
Vey, Brianna L., et al. “The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging.” Journal of The American College of Radiology, vol. 16, no. 9, July 2019, pp. 1273–78.