Benefits of Linear Conditioning for Segmentation using Metadata

Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad. Benefits of Linear Conditioning for Segmentation using Metadata. In Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst, editors, Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Volume 143 of Proceedings of Machine Learning Research, pages 416-430, PMLR, 2021. [doi]

@inproceedings{LemayGVLCC21,
  title = {Benefits of Linear Conditioning for Segmentation using Metadata},
  author = {Andréanne Lemay and Charley Gros and Olivier Vincent and Yaou Liu and Joseph Paul Cohen and Julien Cohen-Adad},
  year = {2021},
  url = {https://proceedings.mlr.press/v143/lemay21a.html},
  researchr = {https://researchr.org/publication/LemayGVLCC21},
  cites = {0},
  citedby = {0},
  pages = {416-430},
  booktitle = {Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany},
  editor = {Mattias P. Heinrich and Qi Dou and Marleen de Bruijne and Jan Lellmann and Alexander Schlaefer and Floris Ernst},
  volume = {143},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}