D. Edwards

发表

Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions.

Darrin C. Edwards, M. Giger, C. Metz, 2003, Medical physics.

Analysis of proposed three-class classification decision rules in terms of the ideal observer decision rule

C. Metz, D. Edwards, 2006 .

Ideal observer estimation and generalized ROC analysis for computer-aided diagnosis

D. Edwards, 2004 .

Optimization of Restricted ROC Surfaces in Three-Class Classification Tasks

Charles E. Metz, Darrin C. Edwards, C. Metz, 2007, IEEE Transactions on Medical Imaging.

Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model.

Darrin C. Edwards, C. Metz, R. Nishikawa, 2002, Medical physics.

Validation of Monte Carlo estimates of three-class ideal observer operating points for normal data.

D. Edwards, 2013, Academic radiology.

MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients

C. Pelizzari, R. Weichselbaum, D. Edwards, 2010, BMC Medical Genomics.

Computerized three-class classification of MRI-based prognostic markers for breast cancer

Maryellen Giger, Darrin C. Edwards, Neha Bhooshan, 2011, Physics in medicine and biology.

MUC 1-Associated Proliferation Signature Predicts Outcomes in Lung Adenocarcinoma Patients

C. Pelizzari, R. Weichselbaum, D. Edwards, 2010 .

Ideal observers and optimal ROC hypersurfaces in N-class classification

Matthew A. Kupinski, Charles E. Metz, Darrin C. Edwards, 2004, IEEE Transactions on Medical Imaging.

Ideal observer approximation using Bayesian classification neural networks

Maryellen L. Giger, Matthew A. Kupinski, Charles E. Metz, 2001, IEEE Transactions on Medical Imaging.