Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging

26 April 2021

Papers citing "Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging"

8 / 8 papers shown

Title
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression Christopher Bülte Yusuf Sale Timo Löhr Paul Hofman Gitta Kutyniok Eyke Hüllermeier UD 65 0 0 25 Apr 2025
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration Leonard Siegert Paul Fischer Mattias P. Heinrich Christian F. Baumgartner 56 1 0 15 Jul 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti Michelle Karg Christian Wirth Azarm Nowzad S. Albayrak 22 3 0 15 Jun 2023
Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning Radosław Szostak Marcin Pietroñ P. Wachniew M. Zimnoch P. Ćwiąkała 24 0 0 05 Jun 2023
Reliable Neural Networks for Regression Uncertainty Estimation Tony Tohme Kevin Vanslette K. Youcef-Toumi UQCV BDL 18 15 0 16 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015