Non-rigid registration and robust principal component analysis with variation priors: A high-throughput mouse phenotyping approach

Zhongliu Xie, Asanobu Kitamoto, Masaru Tamura, Toshihiko Shiroishi, Duncan Gillies. Non-rigid registration and robust principal component analysis with variation priors: A high-throughput mouse phenotyping approach. In 13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016. pages 1118-1122, IEEE, 2016. [doi]

@inproceedings{XieKTSG16,
  title = {Non-rigid registration and robust principal component analysis with variation priors: A high-throughput mouse phenotyping approach},
  author = {Zhongliu Xie and Asanobu Kitamoto and Masaru Tamura and Toshihiko Shiroishi and Duncan Gillies},
  year = {2016},
  doi = {10.1109/ISBI.2016.7493462},
  url = {http://dx.doi.org/10.1109/ISBI.2016.7493462},
  researchr = {https://researchr.org/publication/XieKTSG16},
  cites = {0},
  citedby = {0},
  pages = {1118-1122},
  booktitle = {13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016},
  publisher = {IEEE},
  isbn = {978-1-4799-2349-6},
}