Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. - Darrin C. Edwards; John Papaioannou; Yulei Jiang; Matthew A. Kupinski; Robert M. Nishikawa (Image Processing, 2001)

Ideal Observer Approximation Using Bayesian Classification Neural Networks. - Matthew A. Kupinski; Darrin C. Edwards; Maryellen L. Giger; Charles E. Metz (IEEE Trans. Medical Imaging, 2001)

Computerized detection and 3-way classification of breast lesions on ultrasound images. - Karen Drukker; Darrin C. Edwards; Maryellen Lissak Giger; Robert M. Nishikawa; Charles E. Metz (Image Processing, 2004)

Ideal observers and optimal ROC hypersurfaces in N-class classification. - Darrin C. Edwards; Charles E. Metz; Matthew A. Kupinski (IEEE Trans. Medical Imaging, 2004)

Restrictions on the three-class ideal observer's decision boundary lines. - Darrin C. Edwards; Charles E. Metz (IEEE Trans. Medical Imaging, 2005)

The hypervolume under the ROC hypersurface of "Near-Guessing" and Near-Perfect" observers in N-class classification tasks. - Darrin C. Edwards; Charles E. Metz; Robert M. Nishikawa (IEEE Trans. Medical Imaging, 2005)

Optimization of Restricted ROC Surfaces in Three-Class Classification Tasks. - Darrin C. Edwards; Charles E. Metz (IEEE Trans. Medical Imaging, 2007)

Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. - Neha Bhooshan; Maryellen L. Giger; Darrin C. Edwards; Karen Drukker; Sanaz Jansen; Hui Li 024; Li Lan; Gillian Newstead (Computer-Aided Diagnosis, 2009)

Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions. - Neha Bhooshan; Darrin C. Edwards; Maryellen L. Giger (Computer-Aided Diagnosis, 2011)