Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation

7 August 2023

Papers citing "Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation"

7 / 7 papers shown

Title
Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders Levente Lippenszky István Megyeri Krisztian Koos Zsófia Karancsi Borbála Deák-Karancsi András Frontó Árpád Makk Attila Rádics Erhan Bas László Ruskó MedIm 38 0 0 16 Apr 2025
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 27 0 0 05 Aug 2024
Robust Conformal Volume Estimation in 3D Medical Images Benjamin Lambert Florence Forbes Senan Doyle M. Dojat OOD 27 1 0 29 Jul 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 27 5 0 28 Apr 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 24 76 0 05 Oct 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015