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Darrin C. Edwards, Ph.D. - Publications

Affiliations: 
2003 University of Chicago, Chicago, IL 
Area:
Radiology, Medical Biophysics
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Edwards DC. Validation of Monte Carlo estimates of three-class ideal observer operating points for normal data. Academic Radiology. 20: 908-14. PMID 23747155 DOI: 10.1016/j.acra.2013.04.002  0.346
2012 Edwards DC, Metz CE. The three-class ideal observer for univariate normal data: Decision variable and ROC surface properties. Journal of Mathematical Psychology. 56: 256-273. PMID 23162165 DOI: 10.1016/J.Jmp.2012.05.003  0.504
2012 Edwards DC. A new parametrization for the three-class ideal observer's decision rule Proceedings of Spie. 8318. DOI: 10.1117/12.913350  0.4
2011 Bhooshan N, Giger M, Edwards D, Yuan Y, Jansen S, Li H, Lan L, Sattar H, Newstead G. Computerized three-class classification of MRI-based prognostic markers for breast cancer. Physics in Medicine and Biology. 56: 5995-6008. PMID 21860079 DOI: 10.1088/0031-9155/56/18/014  0.368
2011 Bhooshan N, Edwards DC, Giger ML. Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions Proceedings of Spie. 7963: 796325. DOI: 10.1117/12.878074  0.434
2011 Edwards DC. Support of the decision variable densities of the three-class ideal observer for bivariate trinormal data Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7966. DOI: 10.1117/12.877902  0.439
2010 Edwards DC, Metz CE. Behavior of the decision variables of the three-class ideal observer for univariate trinormal data Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7627. DOI: 10.1117/12.843942  0.43
2009 Bhooshan N, Giger ML, Edwards DC, Drukker K, Jansen S, Li H, Lan L, Newstead G. Using Three-Class BANN Classifier in the Automated Analysis of Breast Cancer Lesions in DCE-MRI Proceedings of Spie. 7260. DOI: 10.1117/12.813507  0.411
2009 Edwards DC, Metz CE. Comparing the performance of two observers using a novel utility-based performance metric for ROC analysis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7263. DOI: 10.1117/12.810778  0.461
2007 Edwards DC, Metz CE. Optimization of restricted ROC surfaces in three-class classification tasks. Ieee Transactions On Medical Imaging. 26: 1345-56. PMID 17948725 DOI: 10.1109/Tmi.2007.898578  0.408
2007 Edwards DC, Metz CE. A utility-based performance metric for ROC analysis of N-class classification tasks Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6515. DOI: 10.1117/12.710083  0.396
2006 Edwards DC, Metz CE. Analysis of proposed three-class classification decision rules in terms of the ideal observer decision rule Journal of Mathematical Psychology. 50: 478-487. DOI: 10.1016/J.Jmp.2006.05.004  0.403
2005 Edwards DC, Metz CE. Restrictions on the three-class ideal observer's decision boundary lines. Ieee Transactions On Medical Imaging. 24: 1566-73. PMID 16350917 DOI: 10.1109/Tmi.2005.859212  0.425
2005 Edwards DC, Metz CE, Nishikawa RM. The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks. Ieee Transactions On Medical Imaging. 24: 293-9. PMID 15754980 DOI: 10.1109/Tmi.2004.841227  0.572
2005 Edwards DC, Metz CE. Review of several proposed three-class classification decision rules and their relation to the ideal observer decision rule Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5749: 128-137. DOI: 10.1117/12.595674  0.331
2005 Edwards DC, Metz CE, Nishikawa RM. The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks Ieee Transactions On Medical Imaging. 24: 293-299. DOI: 10.1109/TMI.2004.841227  0.574
2004 Edwards DC, Metz CE, Kupinski MA. Ideal observers and optimal ROC hypersurfaces in N-class classification. Ieee Transactions On Medical Imaging. 23: 891-5. PMID 15250641 DOI: 10.1109/Tmi.2004.828358  0.495
2004 Edwards DC, Lan L, Metz CE, Giger ML, Nishikawa RM. Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions. Medical Physics. 31: 81-90. PMID 14761024 DOI: 10.1118/1.1631912  0.629
2004 Edwards DC. Ideal observer estimation and generalized ROC analysis for computer-aided diagnosis Medical Physics. 31: 1308-1308. DOI: 10.1118/1.1688038  0.541
2004 Edwards DC, Metz CE, Nishikawa RM. Hypervolume under the ROC hypersurface of a "near-guessing" ideal observer in a three-class classification task Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5: 128-137. DOI: 10.1117/12.536068  0.581
2004 Drukker K, Edwards DC, Giger ML, Nishikawa RM, Metz CE. Computerized detection and 3-way classification of breast lesions on ultrasound images Proceedings of Spie - the International Society For Optical Engineering. 5370: 1034-1041. DOI: 10.1117/12.534339  0.444
2003 Edwards DC, Lan L, Metz CE, Giger ML, Nishikawa RM. Bayesian ANN estimates of three-class ideal observer decision variables for classification of mammographic masses Proceedings of Spie - the International Society For Optical Engineering. 5034: 474-482. DOI: 10.1117/12.480343  0.596
2002 Edwards DC, Kupinski MA, Metz CE, Nishikawa RM. Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model. Medical Physics. 29: 2861-70. PMID 12512721 DOI: 10.1118/1.1524631  0.535
2002 Edwards DC, Metz CE, Nishikawa RM. Estimation of three-class ideal observer decision functions with a Bayesian artificial neural network Proceedings of Spie - the International Society For Optical Engineering. 4686: 1-12. DOI: 10.1117/12.462662  0.519
2001 Kupinski MA, Edwards DC, Giger ML, Metz CE. Ideal observer approximation using Bayesian classification neural networks. Ieee Transactions On Medical Imaging. 20: 886-99. PMID 11585206 DOI: 10.1109/42.952727  0.387
2001 Edwards DC, Papaioannou J, Jiang Y, Kupinski MA, Nishikawa RM. Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network Proceedings of Spie - the International Society For Optical Engineering. 4322: 1954-1960. DOI: 10.1117/12.431089  0.455
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