A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting

Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein. A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. In Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I. Volume 9349 of Lecture Notes in Computer Science, pages 45-52, Springer, 2015. [doi]

@inproceedings{NeherGNWM15,
  title = {A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting},
  author = {Peter F. Neher and Michael Götz and Tobias Norajitra and Christian Weber and Klaus H. Maier-Hein},
  year = {2015},
  doi = {10.1007/978-3-319-24553-9_6},
  url = {http://dx.doi.org/10.1007/978-3-319-24553-9_6},
  researchr = {https://researchr.org/publication/NeherGNWM15},
  cites = {0},
  citedby = {0},
  pages = {45-52},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I},
  editor = {Nassir Navab and Joachim Hornegger and William M. Wells III and Alejandro F. Frangi},
  volume = {9349},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-24552-2},
}