Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete. Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Volume 12261 of Lecture Notes in Computer Science, pages 689-698, Springer, 2020. [doi]
Abstract is missing.