Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. Ammeling, J., Manger, C., Kwaka, E., Krügel, S., Uhl, M., Kießig, A., Fritz, A., Ganz, J., Riener, A., Bertram, C. A., Breininger, K., & Aubreville, M. In Stolze, M., Loch, F., Baldauf, M., Alt, F., Schneegass, C., Kosch, T., Hirzle, T., Sadeghian, S., Draxler, F., Bektas, K., Lohan, K., & Knierim, P., editors, Mensch und Computer 2023, MuC 2023, Rapperswil, Switzerland, September 3-6, 2023, pages 330–335, 2023. ACM.
Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/mc/AmmelingMKKUKFG23,
  author       = {Jonas Ammeling and
                  Carina Manger and
                  Elias Kwaka and
                  Sebastian Kr{\"{u}}gel and
                  Matthias Uhl and
                  Angelika Kie{\ss}ig and
                  Alexis Fritz and
                  Jonathan Ganz and
                  Andreas Riener and
                  Christof A. Bertram and
                  Katharina Breininger and
                  Marc Aubreville},
  editor       = {Markus Stolze and
                  Frieder Loch and
                  Matthias Baldauf and
                  Florian Alt and
                  Christina Schneegass and
                  Thomas Kosch and
                  Teresa Hirzle and
                  Shadan Sadeghian and
                  Fiona Draxler and
                  Kenan Bektas and
                  Katrin Lohan and
                  Pascal Knierim},
  title        = {Appealing but Potentially Biasing - Investigation of the Visual Representation
                  of Segmentation Predictions by {AI} Recommender Systems for Medical
                  Decision Making},
  booktitle    = {Mensch und Computer 2023, MuC 2023, Rapperswil, Switzerland, September
                  3-6, 2023},
  pages        = {330--335},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3603555.3608561},
  doi          = {10.1145/3603555.3608561},
  timestamp    = {Thu, 31 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/mc/AmmelingMKKUKFG23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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