Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation

10 November 2022

Papers citing "Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation"

7 / 7 papers shown

Title
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation Kim-Celine Kahl Carsten T. Lüth M. Zenk Klaus Maier-Hein Paul F. Jaeger UQCV 30 16 0 16 Jan 2024
Redesigning Out-of-Distribution Detection on 3D Medical Images A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh OOD 34 5 0 07 Aug 2023
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images Daria Frolova A. Vasiliuk Mikhail Belyaev B. Shirokikh OOD 29 1 0 13 Dec 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 144 427 0 09 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015