Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities

Ben Philps, Maria del C. Valdés Hernández, Miguel Bernabeu Llinares. Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities. In Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells, editors, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Volume 14291 of Lecture Notes in Computer Science, pages 208-218, Springer, 2023. [doi]

Abstract

Abstract is missing.