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Journal Articles
- 2010
[j11]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. Medical Imaging 29(2): 428-441 (2010)- 2007
- [j10]Darrin C. Edwards, Charles E. Metz:
Optimization of Restricted ROC Surfaces in Three-Class Classification Tasks. IEEE Trans. Medical Imaging 26(10): 1345-1356 (2007) - 2006
- [j9]Xin He, Charles E. Metz, Benjamin M. W. Tsui, Jonathan M. Links, Eric C. Frey:
Three-class ROC analysis-a decision theoretic approach under the ideal observer framework. IEEE Trans. Medical Imaging 25(5): 571-581 (2006) - 2005
- [j8]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. Medical Imaging 24(3): 293-299 (2005) - [j7]Darrin C. Edwards, Charles E. Metz:
Restrictions on the three-class ideal observer's decision boundary lines. IEEE Trans. Medical Imaging 24(12): 1566-1573 (2005) - 2004
- [j6]Darrin C. Edwards, Charles E. Metz, Matthew A. Kupinski:
Ideal observers and optimal ROC hypersurfaces in N-class classification. IEEE Trans. Medical Imaging 23(7): 891-895 (2004) - 2001
- [j5]Matthew A. Kupinski, Darrin C. Edwards, Maryellen L. Giger, Charles E. Metz:
Ideal Observer Approximation Using Bayesian Classification Neural Networks. IEEE Trans. Medical Imaging 20(9): 886-899 (2001) - 1995
- [j4]Charles E. Metz, Xiaochuan Pan:
A unified analysis of exact methods of inverting the 2-D exponential radon transform, with implications for noise control in SPECT. IEEE Trans. Medical Imaging 14(4): 643-658 (1995) - [j3]Xiaochuan Pan, Charles E. Metz:
Analysis of noise properties of a class of exact methods of inverting the 2-D exponential radon transform [SPECT application]. IEEE Trans. Medical Imaging 14(4): 659-668 (1995) - 1994
- [j2]Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger, Charles E. Metz, Wei Zhang:
Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme. J. Digit. Imaging 7(4): 196-207 (1994) - 1993
- [j1]Yuzheng C. Wu, Kunio Doi, Charles E. Metz, Naoki Asada, Maryellen L. Giger:
Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making. J. Digit. Imaging 6(2): 117-125 (1993)
Conference and Workshop Papers
- 2008
- [c6]Weijie Chen, Charles E. Metz, Maryellen L. Giger:
Hybrid linear classifier for jointly normal data: theory. Medical Imaging: Computer-Aided Diagnosis 2008: 691504 - 2004
- [c5]R. M. Zur, Y. Jiang, Charles E. Metz:
Comparison of two methods of adding jitter to artificial neural network training. CARS 2004: 886-889 - [c4]Karen Drukker, Darrin C. Edwards, Maryellen Lissak Giger, Robert M. Nishikawa, Charles E. Metz:
Computerized detection and 3-way classification of breast lesions on ultrasound images. Medical Imaging: Image Processing 2004 - 1998
- [c3]Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Charles E. Metz, Maryellen L. Giger, Kunio Doi:
Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. Digital Mammography / IWDM 1998: 215-220 - 1990
- [c2]Chin-Tu Chen, Valen E. Johnson, Xiaoping Hu, Wing H. Wong, Charles E. Metz:
Image processing and image reconstruction with the use of a-priori information. Medical Imaging: Image Processing 1990 - [c1]Maryellen Lissak Giger, Fang-Fang Yin, Kunio Doi, Charles E. Metz, Robert A. Schmidt, Carl J. Vyborny:
Investigation of methods for the computerized detection and analysis of mammographic masses. Medical Imaging: Image Processing 1990
Coauthor Index
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