Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry

Marcel Ganß, Francesca De Benetti, Julia Brosch-Lenz, Carlos Uribe, Kuangyu Shi, Matthias Eiber, Nassir Navab, Thomas Wendler 0001. Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff, editors, Bildverarbeitung für die Medizin 2023 - Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Informatik Aktuell, pages 70-75, Springer, 2023. [doi]

@inproceedings{GanssBBUSEN023,
  title = {Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry},
  author = {Marcel Ganß and Francesca De Benetti and Julia Brosch-Lenz and Carlos Uribe and Kuangyu Shi and Matthias Eiber and Nassir Navab and Thomas Wendler 0001},
  year = {2023},
  doi = {10.1007/978-3-658-41657-7_18},
  url = {https://doi.org/10.1007/978-3-658-41657-7_18},
  researchr = {https://researchr.org/publication/GanssBBUSEN023},
  cites = {0},
  citedby = {0},
  pages = {70-75},
  booktitle = {Bildverarbeitung für die Medizin 2023 - Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023},
  editor = {Thomas M. Deserno and Heinz Handels and Andreas Maier and Klaus H. Maier-Hein and Christoph Palm and Thomas Tolxdorff},
  series = {Informatik Aktuell},
  publisher = {Springer},
  isbn = {978-3-658-41657-7},
}