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33846232348
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Task-based assessment of image quality: Model observers for detection tasks
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Norfolk, VA
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Barrett, H.H.1
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Linear discriminants and image quality
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6
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33846265033
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Describing three-class task performance: Three-class volume under ROC surface (VUS) and three-class Hotelling Trace (3-HT) as figures of merit
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to be published
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X. He and E. Frey, Describing three-class task performance: Three-class volume under ROC surface (VUS) and three-class Hotelling Trace (3-HT) as figures of merit, to be published.
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He, X.1
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X. He, E. C. Frey, J. M. Links, and B. M. W. Tsui, Describing three-class task performance: Three-class under ROC surface (VUS) and three-class hotelling trace (3-HT) as figures of merit, presented at the IEEE Nucl. Sci. Symp. (NSS) Med. Imag. Conf. (MIC), Rome, Italy, 2004.
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X. He, E. C. Frey, J. M. Links, and B. M. W. Tsui, "Describing three-class task performance: Three-class volume under ROC surface (VUS) and three-class hotelling trace (3-HT) as figures of merit," presented at the IEEE Nucl. Sci. Symp. (NSS) Med. Imag. Conf. (MIC), Rome, Italy, 2004.
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8
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33646408113
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Three-class ROC analysis - A decision theoretic approach under the ideal observer framework
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May
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X. He, C. E. Metz, J. M. Links, B. M. Tsui, and E. C. Frey, "Three-class ROC analysis - A decision theoretic approach under the ideal observer framework," IEEE Trans. Med. Imag., vol. 25, no. 5, pp. 571-581, May 2006.
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9
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Three-class ROC analysis - The equal error utility assumption and the optimality of three-class ROC surface/hypersurface with the ideal observer
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May
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X. He and E. C. Frey, "Three-class ROC analysis - The equal error utility assumption and the optimality of three-class ROC surface/hypersurface with the ideal observer," IEEE Trans. Med. Imag., vol. 25, no. 5, pp. 979-986, May 2006.
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Human- and model-observer performance in ramp-spectrum noise: Effects of regularization and object variability
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0032085939
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Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions
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H. H. Barren, C. K. Abbey, and E. Clarkson, "Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions," J. Opt. Soc. Amer. A-Opt. Image Sci. Vision, vol. 15, pp. 1520-1535, 1998.
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12
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0027425561
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Model observers for assessment of image quality
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13
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0036770471
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Application of task-based measures of image quality to optimization and evaluation of three-dimensional reconstruction-based compensation methods in myocar-dial perfusion SPECT
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Sep
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E. C. Frey, K. L. Gilland, and B. M. Tsui, "Application of task-based measures of image quality to optimization and evaluation of three-dimensional reconstruction-based compensation methods in myocar-dial perfusion SPECT," IEEE Trans. Med. Imag., vol. 21, no. 9, pp. 1040-50, Sep. 2002.
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Frey, E.C.1
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14
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2342508413
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A mathematical observer study for the evaluation and optimization of compensation methods for myocardial SPECT using a phantom population that realistically models patient variability
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Feb
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X. He, E. C. Frey, J. M. Links, K. L. Gilland, W. P. Segars, and B. M. W. Tsui, "A mathematical observer study for the evaluation and optimization of compensation methods for myocardial SPECT using a phantom population that realistically models patient variability," IEEE Trans. Nucl. Sci., vol. 51, no. 1, pp. 218-224, Feb. 2004.
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Tsui, B.M.W.6
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16
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3142777803
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Ideal observers and optimal ROC hypersurfaces in N-class classification
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D. C. Edwards, C. E. Metz, and M. A. Kupinski, "Ideal observers and optimal ROC hypersurfaces in N-class classification," IEEE Trans. Med. Imag., vol. 23, no. 7, pp. 891-895, Jul. 2004.
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