Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease

Martin Dyrba, Arjun H. Pallath, Eman N. Marzban. Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas K. Maier, Klaus H. Maier-Hein, Christoph Palm, editors, Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin. Informatik Aktuell, pages 307-312, Springer, 2020. [doi]

@inproceedings{DyrbaPM20,
  title = {Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease},
  author = {Martin Dyrba and Arjun H. Pallath and Eman N. Marzban},
  year = {2020},
  doi = {10.1007/978-3-658-29267-6_68},
  url = {https://doi.org/10.1007/978-3-658-29267-6_68},
  researchr = {https://researchr.org/publication/DyrbaPM20},
  cites = {0},
  citedby = {0},
  pages = {307-312},
  booktitle = {Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin},
  editor = {Thomas Tolxdorff and Thomas M. Deserno and Heinz Handels and Andreas K. Maier and Klaus H. Maier-Hein and Christoph Palm},
  series = {Informatik Aktuell},
  publisher = {Springer},
  isbn = {978-3-658-29267-6},
}