Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network

MLA

Bo Zhu, et al. “Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network.” Radiology: Artificial Intelligence, vol. 3, Sept. 2021, p. e200122. EBSCOhost, https://doi.org/10.1148/ryai.2021200122.

APA

Bo Zhu, Garry E. Gold, Neha Koonjoo, Akshay S. Chaudhari, Bragi Sveinsson, Martin Torriani, & Matthew S. Rosen. (2021). Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network. Radiology: Artificial Intelligence, 3, e200122. https://doi.org/10.1148/ryai.2021200122

Chicago

Bo Zhu, Garry E. Gold, Neha Koonjoo, Akshay S. Chaudhari, Bragi Sveinsson, Martin Torriani, and Matthew S. Rosen. 2021. “Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network.” Radiology: Artificial Intelligence 3 (September): e200122. doi:10.1148/ryai.2021200122.