A framework for falsifiable explanations of machine learning models with an application in computational pathology

David Schuhmacher, Stephanie Schörner, Claus Küpper, Frederik Großerüschkamp, Carlo Sternemann, Celine Lugnier, Anna-Lena Kraeft, Hendrik Jütte, Andrea Tannapfel, Anke Reinacher-Schick, Klaus Gerwert, Axel Mosig. A framework for falsifiable explanations of machine learning models with an application in computational pathology. Medical Image Analysis, 82:102594, 2022. [doi]

@article{SchuhmacherSKGS22,
  title = {A framework for falsifiable explanations of machine learning models with an application in computational pathology},
  author = {David Schuhmacher and Stephanie Schörner and Claus Küpper and Frederik Großerüschkamp and Carlo Sternemann and Celine Lugnier and Anna-Lena Kraeft and Hendrik Jütte and Andrea Tannapfel and Anke Reinacher-Schick and Klaus Gerwert and Axel Mosig},
  year = {2022},
  doi = {10.1016/j.media.2022.102594},
  url = {https://doi.org/10.1016/j.media.2022.102594},
  researchr = {https://researchr.org/publication/SchuhmacherSKGS22},
  cites = {0},
  citedby = {0},
  journal = {Medical Image Analysis},
  volume = {82},
  pages = {102594},
}