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The Journal of Imaging Science and Technology|May 10, 2021
Limitations of CNNs for Approximating the Ideal Observer Despite Quantity of Training Data or Depth of NetworkKhalid Omer, Luca Caucci, Meredith Kupinski
Optics Express|November 6, 2019
Parameter-based imaging from passive multispectral polarimetric measurementsHanyu Zhan, David G Voelz, Meredith Kupinski
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 3, 2020
Probability of error for detecting a change in a parameter and Bayesian Fisher informationEric Clarkson
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|October 9, 2002
Bounds on the area under the receiver operating characteristic curve for the ideal observerEric Clarkson
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 4, 2012
Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode dataEric Clarkson
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 7, 2007
Estimation receiver operating characteristic curve and ideal observers for combined detection/estimation tasksEric Clarkson
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 11, 2019
Relation between Bayesian Fisher information and Shannon information for detecting a change in a parameterEric Clarkson
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|October 6, 2010
Fisher information and surrogate figures of merit for the task-based assessment of image qualityEric Clarkson, Fangfang Shen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|November 4, 2009
Efficient estimation of ideal-observer performance in classification tasks involving high-dimensional complex backgroundsSubok Park, Eric Clarkson
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