Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost. Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. In Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III. Volume 11072 of Lecture Notes in Computer Science, pages 349-356, Springer, 2018. [doi]
@inproceedings{GaoGCS18-0,
title = {Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models},
author = {Siyuan Gao and Abigail S. Greene and R. Todd Constable and Dustin Scheinost},
year = {2018},
doi = {10.1007/978-3-030-00931-1_40},
url = {https://doi.org/10.1007/978-3-030-00931-1_40},
researchr = {https://researchr.org/publication/GaoGCS18-0},
cites = {0},
citedby = {0},
pages = {349-356},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III},
editor = {Alejandro F. Frangi and Julia A. Schnabel and Christos Davatzikos and Carlos Alberola-López and Gabor Fichtinger},
volume = {11072},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-00931-1},
}