Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows

Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert. Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows. In Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, Chantal M. W. Tax, Thomas Wolfers, editors, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Volume 13001 of Lecture Notes in Computer Science, pages 23-33, Springer, 2021. [doi]

@inproceedings{WilmsMBRLF21,
  title = {Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows},
  author = {Matthias Wilms and Pauline Mouches and Jordan J. Bannister and Deepthi Rajashekar and Sönke Langner and Nils D. Forkert},
  year = {2021},
  doi = {10.1007/978-3-030-87586-2_3},
  url = {https://doi.org/10.1007/978-3-030-87586-2_3},
  researchr = {https://researchr.org/publication/WilmsMBRLF21},
  cites = {0},
  citedby = {0},
  pages = {23-33},
  booktitle = {Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings},
  editor = {Ahmed Abdulkadir and Seyed Mostafa Kia and Mohamad Habes and Vinod Kumar and Jane Maryam Rondina and Chantal M. W. Tax and Thomas Wolfers},
  volume = {13001},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-87586-2},
}