A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks

Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz. A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks. In Erik Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero, editors, Geometric Deep Learning in Medical Image Analysis, 18 November 2022, Amsterdam, The Netherlands. Volume 194 of Proceedings of Machine Learning Research, pages 85-95, PMLR, 2022. [doi]

@inproceedings{MayerBAT22,
  title = {A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks},
  author = {Julius Mayer and Daniel Baum and Felix Ambellan and Christoph von Tycowicz},
  year = {2022},
  url = {https://proceedings.mlr.press/v194/mayer22a.html},
  researchr = {https://researchr.org/publication/MayerBAT22},
  cites = {0},
  citedby = {0},
  pages = {85-95},
  booktitle = {Geometric Deep Learning in Medical Image Analysis, 18 November 2022, Amsterdam, The Netherlands},
  editor = {Erik Bekkers and Jelmer M. Wolterink and Angelica I. Avilés-Rivero},
  volume = {194},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}