Carole H. Sudre; Hamid Fehri; Tal Arbel; Christian F. Baumgartner; Adrian Dalca; Ryutaro Tanno; Koen Van Leemput; Wells Springer Nature Switzerland AG (2020) Pehmeäkantinen kirja
Carole H. Sudre; Roxane Licandro; Christian Baumgartner; Andrew Melbourne; Adrian Dalca; Jana Hutter; Ryutaro Tanno; Abac Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Carole H. Sudre (ed.); Christian F. Baumgartner (ed.); Adrian Dalca (ed.); Chen Qin (ed.); Ryutaro Tanno (ed.); Van Leemput Springer (2022) Pehmeäkantinen kirja
Carole H. Sudre (ed.); Christian F. Baumgartner (ed.); Adrian Dalca (ed.); Raghav Mehta (ed.); Chen Qin (ed.); Willi Wells Springer (2023) Pehmeäkantinen kirja
Hayit Greenspan; Ryutaro Tanno; Marius Erdt; Tal Arbel; Christian Baumgartner; Adrian Dalca; Carole H. Sudre; Will Wells Springer Nature Switzerland AG (2019) Pehmeäkantinen kirja
This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.For UNSURE 2020, 10 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.
GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
