@article{Liang:15494,
      recid = {15494},
      author = {Liang, Y. and Rainbird, J. and Cortellessa, G. and Balia,  M. and Bologna, Guido and Koutsopoulos, I. and Pannison, A.  and Perotti, A. and Ramaekers, B. and Rattay, T. and  Rivera, S. and Romita, A. and Roumen, C. and Talbot, C. and  Verhoeven, K. and Bergeaud, M. and Fracasso, F.},
      title = {Physicians’ views on explainable artificial intelligence  models to predict the risk of toxicity following breast  radiotherapy},
      publisher = {Elsevier},
      journal = {International Journal of Radiation  Oncology*Biology*Physics ; Proceedings of the 2024 ASTRO  Annual Meeting, 29 September-2 October 2024, Washington,  DC, USA},
      address = {Amsterdam, The Netherlands. 2024-10},
      number = {CONFERENCE},
      pages = {2 p.},
      url = {http://arodes.hes-so.ch/record/15494},
      doi = {https://doi.org/10.1016/j.ijrobp.2024.07.1451},
}