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

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

5 August 2024
M. Woodland
Nihil Patel
Austin Castelo
Mais Al Taie
Mohamed Eltaher
Joshua P. Yung
T. Netherton
Tiffany L. Calderone
Jessica I. Sanchez
Darrel W. Cleere
Ahmed Elsaiey
Nakul Gupta
David Victor
Laura Beretta
Ankit B. Patel
Kristy K. Brock
    OOD
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Papers citing "Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation"

3 / 3 papers shown
Title
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1