Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation

15 August 2023

Papers citing "Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation"

9 / 9 papers shown

Title
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Austin Castelo Mais Al Taie Mohamed Eltaher ... Nakul Gupta David Victor Laura Beretta Ankit B. Patel Kristy K. Brock OOD 29 0 0 05 Aug 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation M. Zenk David Zimmerer Fabian Isensee Jeremias Traub T. Norajitra Paul F. Jäger Klaus H. Maier-Hein 51 4 0 05 Jun 2024
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images Jadie Adams Krithika S. Iyer Shireen Elhabian 27 2 0 15 May 2024
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation Rachaell Nihalaani Tushar Kataria Jadie Adams Shireen Elhabian 29 1 0 18 Mar 2024
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 29 77 0 05 Oct 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 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