Charles E. Metz Coauthor index pubzone.org

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DBLP keys2010
j7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Weijie Chen, Charles E. Metz, Maryellen L. Giger, Karen Drukker: A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. IEEE Trans. Med. Imaging 29(2): 428-441 (2010)
2007
j6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Darrin C. Edwards, Charles E. Metz: Optimization of Restricted ROC Surfaces in Three-Class Classification Tasks. IEEE Trans. Med. Imaging 26(10): 1345-1356 (2007)
2006
j5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Xin He, Charles E. Metz, Benjamin M. W. Tsui, J. M. Links, Eric C. Frey: Three-class ROC analysis-a decision theoretic approach under the ideal observer framework. IEEE Trans. Med. Imaging 25(5): 571-581 (2006)
2005
j4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Darrin C. Edwards, Charles E. Metz, Robert M. Nishikawa: The hypervolume under the ROC hypersurface of "Near-Guessing" and Near-Perfect" observers in N-class classification tasks. IEEE Trans. Med. Imaging 24(3): 293-299 (2005)
j3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Darrin C. Edwards, Charles E. Metz: Restrictions on the three-class ideal observer's decision boundary lines. IEEE Trans. Med. Imaging 24(12): 1566-1573 (2005)
2004
j2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Darrin C. Edwards, Charles E. Metz, Matthew A. Kupinski: Ideal observers and optimal ROC hypersurfaces in N-class classification. IEEE Trans. Med. Imaging 23(7): 891-895 (2004)
c1no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
R. M. Zur, Y. Jiang, Charles E. Metz: Comparison of two methods of adding jitter to artificial neural network training. CARS 2004: 886-889
2001
j1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Matthew A. Kupinski, Darrin C. Edwards, Maryellen L. Giger, Charles E. Metz: Ideal Observer Approximation Using Bayesian Classification Neural Networks. IEEE Trans. Med. Imaging 20(9): 886-899 (2001)

Coauthor Index

1Weijie Chen
[j7]
2Karen Drukker
[j7]
3Darrin C. Edwards
[j6] [j4] [j3] [j2] [j1]
4Eric C. Frey
[j5]
5Maryellen L. Giger
[j7] [j1]
6Xin He
[j5]
7Y. Jiang
[c1]
8Matthew A. Kupinski
[j2] [j1]
9J. M. Links
[j5]
10Robert M. Nishikawa
[j4]
11Benjamin M. W. Tsui
[j5]
12R. M. Zur
[c1]

Colors in the list of coauthors

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