Fusing Functional Signals by Sparse Canonical Correlation Analysis Improves Network Reproducibility

Jeffrey T. Duda, John A. Detre, Junghoon Kim, James C. Gee, Brian B. Avants. Fusing Functional Signals by Sparse Canonical Correlation Analysis Improves Network Reproducibility. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III. Volume 8151 of Lecture Notes in Computer Science, pages 635-642, Springer, 2013. [doi]

@inproceedings{DudaDKGA13,
  title = {Fusing Functional Signals by Sparse Canonical Correlation Analysis Improves Network Reproducibility},
  author = {Jeffrey T. Duda and John A. Detre and Junghoon Kim and James C. Gee and Brian B. Avants},
  year = {2013},
  doi = {10.1007/978-3-642-40760-4_79},
  url = {http://dx.doi.org/10.1007/978-3-642-40760-4_79},
  researchr = {https://researchr.org/publication/DudaDKGA13},
  cites = {0},
  citedby = {0},
  pages = {635-642},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III},
  editor = {Kensaku Mori and Ichiro Sakuma and Yoshinobu Sato and Christian Barillot and Nassir Navab},
  volume = {8151},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-40759-8},
}