@article{1440155,
      recid = {1440155},
      author = {Sudre, Carole H., and Licandro, Roxane, and Baumgartner,  Christian and Melbourne, Andrew, and Dalca, Adrian V. and  Hutter, Jana, and Tanno, Ryutaro, and Abaci Turk, Esra, and  Van Leemput, Koen, and Torrents Barrena, Jordina, and  Wells, William M., and Macgowan, Christopher,},
      title = {Uncertainty for safe utilization of machine learning in  medical imaging, and perinatal imaging, placental and  preterm image analysis : 3rd International Workshop, UNSURE  2021, and 6th International Workshop, PIPPI 2021, held in  conjunction with MICCAI 2021, Strasbourg, France, October  1, 2021, Proceedings /. UNSURE (Workshop)},
      pages = {1 online resource (xiii, 296 pages) :},
      note = {"The conference was planned to take place in Strasbourg,  France, but changed to an online event due to the COVID-19  pandemic."},
      abstract = {This book constitutes the refereed proceedings of the  Third Second International Workshop on Uncertainty for Safe  Utilization of Machine Learning in Medical Imaging, UNSURE  2021, and the 6th International Workshop on Preterm,  Perinatal and Paediatric Image Analysis, PIPPI 2021, held  in conjunction with MICCAI 2021. The conference was planned  to take place in Strasbourg, France, but was held virtually  due to the COVID-19 pandemic. For UNSURE 2021, 13 papers  from 18 submissions were accepted for publication. They  focus on developing awareness and encouraging research in  the field of uncertainty modelling to enable safe  implementation of machine learning tools in the clinical  world. PIPPI 2021 accepted 14 papers from the 18  submissions received. The workshop aims to bring together  methods and experience from researchers and authors working  on these younger cohorts and provides a forum for the open  discussion of advanced image analysis approaches focused on  the analysis of growth and development in the fetal, infant  and paediatric period.},
      url = {http://library.usi.edu/record/1440155},
      doi = {https://doi.org/10.1007/978-3-030-87735-4},
}