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Darrin C. Edwards
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2010 – 2019
- 2011
- [c4]Neha Bhooshan, Darrin C. Edwards, Maryellen L. Giger:
Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions. Computer-Aided Diagnosis 2011: 796325
2000 – 2009
- 2009
- [c3]Neha Bhooshan, Maryellen L. Giger, Darrin C. Edwards, Karen Drukker, Sanaz Jansen, Hui Li, Li Lan, Gillian Newstead:
Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. Computer-Aided Diagnosis 2009: 72600J - 2007
- [j5]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) - 2005
- [j4]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) - [j3]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
- [j2]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) - [c2]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. Image Processing 2004 - 2001
- [j1]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) - [c1]Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa:
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. Image Processing 2001
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