Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan

MLA

Kilian Hett, et al. “Deep Learning Segmentation of Peri-Sinus Structures from Structural Magnetic Resonance Imaging: Validation and Normative Ranges across the Adult Lifespan.” Fluids and Barriers of the CNS, vol. 21, no. 1, Feb. 2024, pp. 1–15. EBSCOhost, https://doi.org/10.1186/s12987-024-00516-w.

APA

Kilian Hett, Colin D. McKnight, Melanie Leguizamon, Jennifer S. Lindsey, Jarrod J. Eisma, Jason Elenberger, Adam J. Stark, Alexander K. Song, Megan Aumann, Ciaran M. Considine, Daniel O. Claassen, & Manus J. Donahue. (2024). Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan. Fluids and Barriers of the CNS, 21(1), 1–15. https://doi.org/10.1186/s12987-024-00516-w

Chicago

Kilian Hett, Colin D. McKnight, Melanie Leguizamon, Jennifer S. Lindsey, Jarrod J. Eisma, Jason Elenberger, Adam J. Stark, et al. 2024. “Deep Learning Segmentation of Peri-Sinus Structures from Structural Magnetic Resonance Imaging: Validation and Normative Ranges across the Adult Lifespan.” Fluids and Barriers of the CNS 21 (1): 1–15. doi:10.1186/s12987-024-00516-w.