A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences

Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost. A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences. In Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung, editors, Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Volume 11848 of Lecture Notes in Computer Science, pages 64-73, Springer, 2019. [doi]

@inproceedings{DadashkarimiGYN19,
  title = {A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences},
  author = {Javid Dadashkarimi and Siyuan Gao and Erin Yeagle and Stephanie Noble and Dustin Scheinost},
  year = {2019},
  doi = {10.1007/978-3-030-32391-2_7},
  url = {https://doi.org/10.1007/978-3-030-32391-2_7},
  researchr = {https://researchr.org/publication/DadashkarimiGYN19},
  cites = {0},
  citedby = {0},
  pages = {64-73},
  booktitle = {Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings},
  editor = {Markus D. Schirmer and Archana Venkataraman and Islem Rekik and Minjeong Kim and Ai Wern Chung},
  volume = {11848},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-32391-2},
}