APA (7th ed.) Citation

Ryd, D., Nilsson, A., Heiberg, E., & Hedström, E. (2023). Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use. Pediatric cardiology, 44(6), 1311-1318. https://doi.org/10.1007/s00246-022-03038-0

Chicago Style (17th ed.) Citation

Ryd, Daniel, Amanda Nilsson, Einar Heiberg, and Erik Hedström. "Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use." Pediatric Cardiology 44, no. 6 (2023): 1311-1318. https://doi.org/10.1007/s00246-022-03038-0.

MLA (9th ed.) Citation

Ryd, Daniel, et al. "Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use." Pediatric Cardiology, vol. 44, no. 6, 2023, pp. 1311-1318, https://doi.org/10.1007/s00246-022-03038-0.