Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data

Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig. Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data. In Aasa Feragen, Stefan Sommer, Julia A. Schnabel, Mads Nielsen, editors, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings. Volume 12729 of Lecture Notes in Computer Science, pages 267-278, Springer, 2021. [doi]

@inproceedings{ElaldiDKG21,
  title = {Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data},
  author = {Axel Elaldi and Neel Dey and Heejong Kim and Guido Gerig},
  year = {2021},
  doi = {10.1007/978-3-030-78191-0_21},
  url = {https://doi.org/10.1007/978-3-030-78191-0_21},
  researchr = {https://researchr.org/publication/ElaldiDKG21},
  cites = {0},
  citedby = {0},
  pages = {267-278},
  booktitle = {Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings},
  editor = {Aasa Feragen and Stefan Sommer and Julia A. Schnabel and Mads Nielsen},
  volume = {12729},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-78191-0},
}