Cite
A Robust and Accurate Two-Step Auto-Labeling Conditional Iterative Closest Points (TACICP) Algorithm for Three-Dimensional Multi-Modal Carotid Image Registration.
MLA
Guo, Hengkai, et al. “A Robust and Accurate Two-Step Auto-Labeling Conditional Iterative Closest Points (TACICP) Algorithm for Three-Dimensional Multi-Modal Carotid Image Registration.” PLoS ONE, vol. 11, no. 2, Feb. 2016, pp. 1–22. EBSCOhost, https://doi.org/10.1371/journal.pone.0148783.
APA
Guo, H., Wang, G., Huang, L., Hu, Y., Yuan, C., Li, R., & Zhao, X. (2016). A Robust and Accurate Two-Step Auto-Labeling Conditional Iterative Closest Points (TACICP) Algorithm for Three-Dimensional Multi-Modal Carotid Image Registration. PLoS ONE, 11(2), 1–22. https://doi.org/10.1371/journal.pone.0148783
Chicago
Guo, Hengkai, Guijin Wang, Lingyun Huang, Yuxin Hu, Chun Yuan, Rui Li, and Xihai Zhao. 2016. “A Robust and Accurate Two-Step Auto-Labeling Conditional Iterative Closest Points (TACICP) Algorithm for Three-Dimensional Multi-Modal Carotid Image Registration.” PLoS ONE 11 (2): 1–22. doi:10.1371/journal.pone.0148783.