Deep Parametric Mixtures for Modeling the Functional Connectome

Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl. Deep Parametric Mixtures for Modeling the Functional Connectome. In Islem Rekik, Ehsan Adeli, Sang-Hyun Park, Maria del C. Valdés Hernández, editors, Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Volume 12329 of Lecture Notes in Computer Science, pages 133-143, Springer, 2020. [doi]

@inproceedings{HonnoratPSP20,
  title = {Deep Parametric Mixtures for Modeling the Functional Connectome},
  author = {Nicolas Honnorat and Adolf Pfefferbaum and Edith V. Sullivan and Kilian M. Pohl},
  year = {2020},
  doi = {10.1007/978-3-030-59354-4_13},
  url = {https://doi.org/10.1007/978-3-030-59354-4_13},
  researchr = {https://researchr.org/publication/HonnoratPSP20},
  cites = {0},
  citedby = {0},
  pages = {133-143},
  booktitle = {Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings},
  editor = {Islem Rekik and Ehsan Adeli and Sang-Hyun Park and Maria del C. Valdés Hernández},
  volume = {12329},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-59354-4},
}