APA (7th ed.) Citation

R, H., T, P., Z, B., E, K., D, P., W, B., . . . K, D. (2023). Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences With Original Full-Dose Images Despite Excellent Quantitative Performance. Investigative radiology, 58(6), 420. https://doi.org/10.1097/RLI.0000000000000955

Chicago Style (17th ed.) Citation

R, Haase, Pinetz T, Bendella Z, Kobler E, Paech D, Block W, Effland A, Radbruch A, and Deike-Hofmann K. "Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences With Original Full-Dose Images Despite Excellent Quantitative Performance." Investigative Radiology 58, no. 6 (2023): 420. https://doi.org/10.1097/RLI.0000000000000955.

MLA (9th ed.) Citation

R, Haase, et al. "Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences With Original Full-Dose Images Despite Excellent Quantitative Performance." Investigative Radiology, vol. 58, no. 6, 2023, p. 420, https://doi.org/10.1097/RLI.0000000000000955.