A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli 0001. A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 0001, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III. Volume 13433 of Lecture Notes in Computer Science, pages 387-397, Springer, 2022. [doi]

@inproceedings{VentoZPPA22,
  title = {A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models},
  author = {Anthony Vento and Qingyu Zhao and Robert Paul and Kilian M. Pohl and Ehsan Adeli 0001},
  year = {2022},
  doi = {10.1007/978-3-031-16437-8_37},
  url = {https://doi.org/10.1007/978-3-031-16437-8_37},
  researchr = {https://researchr.org/publication/VentoZPPA22},
  cites = {0},
  citedby = {0},
  pages = {387-397},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III},
  editor = {Linwei Wang and Qi Dou and P. Thomas Fletcher and Stefanie Speidel and Shuo Li 0001},
  volume = {13433},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16437-8},
}