Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings

Anna Windbühler, Sükrü Okkesim, Olaf Christ, Soheil Mottaghi, Shavika Rastogi, Michael Schmuker, Timo Baumann, Ulrich G. Hofmann. Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022. pages 3530-3533, IEEE, 2022. [doi]

@inproceedings{WindbuhlerOCMRS22,
  title = {Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings},
  author = {Anna Windbühler and Sükrü Okkesim and Olaf Christ and Soheil Mottaghi and Shavika Rastogi and Michael Schmuker and Timo Baumann and Ulrich G. Hofmann},
  year = {2022},
  doi = {10.1109/EMBC48229.2022.9871702},
  url = {https://doi.org/10.1109/EMBC48229.2022.9871702},
  researchr = {https://researchr.org/publication/WindbuhlerOCMRS22},
  cites = {0},
  citedby = {0},
  pages = {3530-3533},
  booktitle = {44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-2782-8},
}