Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge

Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze-Le Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge. Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. Medical Image Analysis, 90:102972, December 2023. [doi]

@article{AndrearczykOBRTEJPVVHD23,
  title = {Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge},
  author = {Vincent Andrearczyk and Valentin Oreiller and Sarah Boughdad and Catherine Cheze-Le Rest and Olena Tankyevych and Hesham Elhalawani and Mario Jreige and John O. Prior and Martin Vallières and Dimitris Visvikis and Mathieu Hatt and Adrien Depeursinge},
  year = {2023},
  month = {December},
  doi = {10.1016/j.media.2023.102972},
  url = {https://doi.org/10.1016/j.media.2023.102972},
  researchr = {https://researchr.org/publication/AndrearczykOBRTEJPVVHD23},
  cites = {0},
  citedby = {0},
  journal = {Medical Image Analysis},
  volume = {90},
  pages = {102972},
}