Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps

Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman. Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps. In Elsa D. Angelini, Bennett A. Landman, editors, Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019. Volume 10949 of SPIE Proceedings, pages 1094922, SPIE, 2019. [doi]

@inproceedings{BermudezRHHLSDK19,
  title = {Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps},
  author = {Camilo Bermudez and William Rodriguez and Yuankai Huo and Allison E. Hainline and Rui Li and Robert Shults and Pierre D. D'Haese and Peter E. Konrad and Benoit M. Dawant and Bennett A. Landman},
  year = {2019},
  doi = {10.1117/12.2509728},
  url = {https://doi.org/10.1117/12.2509728},
  researchr = {https://researchr.org/publication/BermudezRHHLSDK19},
  cites = {0},
  citedby = {0},
  pages = {1094922},
  booktitle = {Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019},
  editor = {Elsa D. Angelini and Bennett A. Landman},
  volume = {10949},
  series = {SPIE Proceedings},
  publisher = {SPIE},
}