Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models - researchr publication authors

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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]

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