Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode data
Author:
Funder
National Institutes of Health
Publisher
The Optical Society
Subject
Computer Vision and Pattern Recognition,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
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1. Objective assessment of image quality III ROC metrics, ideal observers, and likelihood-generating functions
2. Fisher information and surrogate figures of merit for the task-based assessment of image quality
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4. List-mode likelihood
5. Using Fisher information to approximate ideal-observer performance on detection tasks for lumpy-background images
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1. Probability of error for detecting a change in a parameter and Bayesian Fisher information;Journal of the Optical Society of America A;2020-01-07
2. Relation between Bayesian Fisher information and Shannon information for detecting a change in a parameter;Journal of the Optical Society of America A;2019-06-19
3. Development of an ideal observer that incorporates nuisance parameters and processes list-mode data;Journal of the Optical Society of America A;2016-03-21
4. Shannon information and ROC analysis in imaging;Journal of the Optical Society of America A;2015-06-18
5. Method for optimizing channelized quadratic observers for binary classification of large-dimensional image datasets;Journal of the Optical Society of America A;2015-03-12
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