Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging

Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion. Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. In Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen, editors, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Volume 10265 of Lecture Notes in Computer Science, pages 323-335, Springer, 2017. [doi]

@inproceedings{BzdokEVT17,
  title = {Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging},
  author = {Danilo Bzdok and Michael Eickenberg and Gaël Varoquaux and Bertrand Thirion},
  year = {2017},
  doi = {10.1007/978-3-319-59050-9_26},
  url = {https://doi.org/10.1007/978-3-319-59050-9_26},
  researchr = {https://researchr.org/publication/BzdokEVT17},
  cites = {0},
  citedby = {0},
  pages = {323-335},
  booktitle = {Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings},
  editor = {Marc Niethammer and Martin Styner and Stephen R. Aylward and Hongtu Zhu and Ipek Oguz and Pew-Thian Yap and Dinggang Shen},
  volume = {10265},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-59050-9},
}