Darrin C. Edwards

604 total citations
30 papers, 470 citations indexed

About

Darrin C. Edwards is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Darrin C. Edwards has authored 30 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Darrin C. Edwards's work include Anomaly Detection Techniques and Applications (15 papers), Imbalanced Data Classification Techniques (13 papers) and AI in cancer detection (7 papers). Darrin C. Edwards is often cited by papers focused on Anomaly Detection Techniques and Applications (15 papers), Imbalanced Data Classification Techniques (13 papers) and AI in cancer detection (7 papers). Darrin C. Edwards collaborates with scholars based in United States. Darrin C. Edwards's co-authors include Charles E. Metz, Matthew A. Kupinski, Robert M. Nishikawa, Maryellen L. Giger, Nikolai N. Khodarev, Ralph R. Weichselbaum, Sean P. Pitroda, Charles A. Pelizzari, Lei Huang and Dhara MacDermed and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Darrin C. Edwards

29 papers receiving 457 citations

Peers

Darrin C. Edwards

RNMI

ONCOL

EPIDE

Deborah Thompson United States

F. W. Samuelson United States

P H Bartels United States

Yoshiko Yamashita Japan

Tao Gan China

Peter B. Snow United States

Hidenori Machino Japan

Neha Bhooshan United States

Kazuma Kobayashi Japan

Pingjun Chen United States

Deborah Thompson United States

Darrin C. Edwards

233 ×1.0

109 ×0.7

RNMI

58 ×0.6

ONCOL

83 ×0.9

58 ×0.8

EPIDE

Citations per year, relative to Darrin C. Edwards Darrin C. Edwards (= 1×) peers Deborah Thompson

Countries citing papers authored by Darrin C. Edwards

Since Specialization

Citations

This map shows the geographic impact of Darrin C. Edwards's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Darrin C. Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrin C. Edwards more than expected).

Fields of papers citing papers by Darrin C. Edwards

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrin C. Edwards. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Darrin C. Edwards. The network helps show where Darrin C. Edwards may publish in the future.

Co-authorship network of co-authors of Darrin C. Edwards

This figure shows the co-authorship network connecting the top 25 collaborators of Darrin C. Edwards. A scholar is included among the top collaborators of Darrin C. Edwards based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darrin C. Edwards. Darrin C. Edwards is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Edwards, Darrin C.. (2013). Validation of Monte Carlo Estimates of Three-Class Ideal Observer Operating Points for Normal Data. Academic Radiology. 20(7). 908–914. 1 indexed citations

Edwards, Darrin C. & Charles E. Metz. (2012). The three-class ideal observer for univariate normal data: Decision variable and ROC surface properties. Journal of Mathematical Psychology. 56(4). 256–273. 1 indexed citations

Bhooshan, Neha, Maryellen L. Giger, Darrin C. Edwards, et al.. (2011). Computerized three-class classification of MRI-based prognostic markers for breast cancer. Physics in Medicine and Biology. 56(18). 5995–6008. 34 indexed citations

Edwards, Darrin C.. (2011). Support of the decision variable densities of the three-class ideal observer for bivariate trinormal data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7966. 79660I–79660I. 1 indexed citations

MacDermed, Dhara, Nikolai N. Khodarev, Sean P. Pitroda, et al.. (2010). MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients. BMC Medical Genomics. 3(1). 16–16. 58 indexed citations

Bhooshan, Neha, Maryellen L. Giger, Darrin C. Edwards, et al.. (2009). Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7260. 72600J–72600J. 1 indexed citations

Edwards, Darrin C. & Charles E. Metz. (2007). Optimization of Restricted ROC Surfaces in Three-Class Classification Tasks. IEEE Transactions on Medical Imaging. 26(10). 1345–1356. 10 indexed citations

Edwards, Darrin C. & Charles E. Metz. (2006). Optimization of an ROC hypersurface constructed only from an observer's within-class sensitivities. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6146. 61460A–61460A. 2 indexed citations

Edwards, Darrin C. & Charles E. Metz. (2006). Analysis of proposed three-class classification decision rules in terms of the ideal observer decision rule. Journal of Mathematical Psychology. 50(5). 478–487. 12 indexed citations

10.

Edwards, Darrin C., Charles E. Metz, & Robert M. Nishikawa. (2005). The hypervolume under the ROC hypersurface of "Near-Guessing" and "Near-Perfect" observers in N-class classification tasks. IEEE Transactions on Medical Imaging. 24(3). 293–299. 31 indexed citations

11.

Edwards, Darrin C. & Charles E. Metz. (2005). Restrictions on the three-class ideal observer's decision boundary lines. IEEE Transactions on Medical Imaging. 24(12). 1566–1573. 11 indexed citations

12.

Edwards, Darrin C. & Charles E. Metz. (2005). Evaluating Bayesian ANN estimates of ideal observer decision variables by comparison with identity functions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5749. 174–174. 1 indexed citations

13.

Drukker, Karen, Darrin C. Edwards, Maryellen L. Giger, Robert M. Nishikawa, & Charles E. Metz. (2004). Computerized detection and 3-way classification of breast lesions on ultrasound images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5370. 1034–1034. 5 indexed citations

14.

Edwards, Darrin C., Charles E. Metz, & Matthew A. Kupinski. (2004). Ideal Observers and Optimal ROC Hypersurfaces in<tex>$N$</tex>-Class Classification. IEEE Transactions on Medical Imaging. 23(7). 891–895. 54 indexed citations

15.

Edwards, Darrin C., Lan Li, Charles E. Metz, Maryellen L. Giger, & Robert M. Nishikawa. (2003). Bayesian ANN estimates of three-class ideal observer decision variables for classification of mammographic masses. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5034. 474–474. 2 indexed citations

16.

Edwards, Darrin C., Lan Li, Charles E. Metz, Maryellen L. Giger, & Robert M. Nishikawa. (2003). Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions. Medical Physics. 31(1). 81–90. 22 indexed citations

17.

Edwards, Darrin C., Matthew A. Kupinski, Charles E. Metz, & Robert M. Nishikawa. (2002). Maximum likelihood fitting of FROC curves under an initial‐detection‐and‐candidate‐analysis model. Medical Physics. 29(12). 2861–2870. 53 indexed citations

18.

Kupinski, Matthew A., Darrin C. Edwards, Maryellen L. Giger, & Charles E. Metz. (2001). Ideal observer approximation using Bayesian classification neural networks. IEEE Transactions on Medical Imaging. 20(9). 886–899. 72 indexed citations

19.

Edwards, Darrin C., John Papaioannou, Yulei Jiang, Matthew A. Kupinski, & Robert M. Nishikawa. (2001). <title>Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4322. 1954–1960. 5 indexed citations

20.

Souhami, R L, Walter M. Gregory, Robert Buckman, et al.. (1985). High-dose cyclophosphamide in small-cell carcinoma of the lung.. Journal of Clinical Oncology. 3(7). 958–963. 56 indexed citations

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