High-throughput mouse phenotyping using non-rigid registration and robust principal component analysis

Zhongliu Xie, Asanobu Kitamoto, Masaru Tamura, Toshihiko Shiroishi, Duncan Gillies. High-throughput mouse phenotyping using non-rigid registration and robust principal component analysis. In Martin A. Styner, Elsa D. Angelini, editors, Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016. Volume 9784 of SPIE Proceedings, pages 978415, SPIE, 2016. [doi]

@inproceedings{XieKTSG16-0,
  title = {High-throughput mouse phenotyping using non-rigid registration and robust principal component analysis},
  author = {Zhongliu Xie and Asanobu Kitamoto and Masaru Tamura and Toshihiko Shiroishi and Duncan Gillies},
  year = {2016},
  doi = {10.1117/12.2217155},
  url = {http://dx.doi.org/10.1117/12.2217155},
  researchr = {https://researchr.org/publication/XieKTSG16-0},
  cites = {0},
  citedby = {0},
  pages = {978415},
  booktitle = {Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016},
  editor = {Martin A. Styner and Elsa D. Angelini},
  volume = {9784},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {978-1-5106-0019-5},
}