Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation

MLA

Daniel Rueckert, et al. “Improving Intersubject Image Registration Using Tissue-Class Information Benefits Robustness and Accuracy of Multi-Atlas Based Anatomical Segmentation.” NeuroImage, vol. 51, May 2010, pp. 221–27. EBSCOhost, https://doi.org/10.1016/j.neuroimage.2010.01.072.

APA

Daniel Rueckert, Alexander Hammers, Paul Aljabar, Shiva Keihaninejad, Rolf A. Heckemann, & Joseph V. Hajnal. (2010). Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation. NeuroImage, 51, 221–227. https://doi.org/10.1016/j.neuroimage.2010.01.072

Chicago

Daniel Rueckert, Alexander Hammers, Paul Aljabar, Shiva Keihaninejad, Rolf A. Heckemann, and Joseph V. Hajnal. 2010. “Improving Intersubject Image Registration Using Tissue-Class Information Benefits Robustness and Accuracy of Multi-Atlas Based Anatomical Segmentation.” NeuroImage 51 (May): 221–27. doi:10.1016/j.neuroimage.2010.01.072.