Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait

Shanmukh Alle, U. Deva Priyakumar. Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V. Volume 12905 of Lecture Notes in Computer Science, pages 614-623, Springer, 2021. [doi]

@inproceedings{AlleP21,
  title = {Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait},
  author = {Shanmukh Alle and U. Deva Priyakumar},
  year = {2021},
  doi = {10.1007/978-3-030-87240-3_59},
  url = {https://doi.org/10.1007/978-3-030-87240-3_59},
  researchr = {https://researchr.org/publication/AlleP21},
  cites = {0},
  citedby = {0},
  pages = {614-623},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V},
  editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
  volume = {12905},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-87240-3},
}