Burnside ES - Search Results

1

Developing a clinical utility framework to evaluate prediction models in radiogenomics.

Wu Y, Liu J, Del Rio AM, Page DC, Alagoz O, Peissig P, Onitilo AA, Burnside ES. Wu Y, et al. Among authors: burnside es. Proc SPIE Int Soc Opt Eng. 2015 Feb 21;9416:941617. doi: 10.1117/12.2081954. Epub 2015 Mar 17. Proc SPIE Int Soc Opt Eng. 2015. PMID: 27095854 Free PMC article.

2

A logistic regression model based on the national mammography database format to aid breast cancer diagnosis.

Chhatwal J, Alagoz O, Lindstrom MJ, Kahn CE Jr, Shaffer KA, Burnside ES. Chhatwal J, et al. Among authors: burnside es. AJR Am J Roentgenol. 2009 Apr;192(4):1117-27. doi: 10.2214/AJR.07.3345. AJR Am J Roentgenol. 2009. PMID: 19304723 Free PMC article.

3

Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings.

Burnside ES, Davis J, Chhatwal J, Alagoz O, Lindstrom MJ, Geller BM, Littenberg B, Shaffer KA, Kahn CE Jr, Page CD. Burnside ES, et al. Radiology. 2009 Jun;251(3):663-72. doi: 10.1148/radiol.2513081346. Epub 2009 Apr 14. Radiology. 2009. PMID: 19366902 Free PMC article.

4

Validation of results from knowledge discovery: mass density as a predictor of breast cancer.

Woods RW, Oliphant L, Shinki K, Page D, Shavlik J, Burnside E. Woods RW, et al. J Digit Imaging. 2010 Oct;23(5):554-61. doi: 10.1007/s10278-009-9235-3. Epub 2009 Sep 16. J Digit Imaging. 2010. PMID: 19760292 Free PMC article.

5

Informatics in radiology: comparison of logistic regression and artificial neural network models in breast cancer risk estimation.

Ayer T, Chhatwal J, Alagoz O, Kahn CE Jr, Woods RW, Burnside ES. Ayer T, et al. Among authors: burnside es. Radiographics. 2010 Jan;30(1):13-22. doi: 10.1148/rg.301095057. Epub 2009 Nov 9. Radiographics. 2010. PMID: 19901087 Free PMC article.

6

Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.

Ayer T, Alagoz O, Chhatwal J, Shavlik JW, Kahn CE Jr, Burnside ES. Ayer T, et al. Among authors: burnside es. Cancer. 2010 Jul 15;116(14):3310-21. doi: 10.1002/cncr.25081. Cancer. 2010. PMID: 20564067 Free PMC article.

7

Computer-aided diagnostic models in breast cancer screening.

Ayer T, Ayvaci MU, Liu ZX, Alagoz O, Burnside ES. Ayer T, et al. Among authors: burnside es. Imaging Med. 2010 Jun 1;2(3):313-323. doi: 10.2217/IIM.10.24. Imaging Med. 2010. PMID: 20835372 Free PMC article.

8

Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors.

Chhatwal J, Alagoz O, Burnside ES. Chhatwal J, et al. Among authors: burnside es. Oper Res. 2010 Nov 1;58(6):1577-1591. doi: 10.1287/opre.1100.0877. Oper Res. 2010. PMID: 21415931 Free PMC article.

9

Integrating machine learning and physician knowledge to improve the accuracy of breast biopsy.

Dutra I, Nassif H, Page D, Shavlik J, Strigel RM, Wu Y, Elezaby ME, Burnside E. Dutra I, et al. AMIA Annu Symp Proc. 2011;2011:349-55. Epub 2011 Oct 22. AMIA Annu Symp Proc. 2011. PMID: 22195087 Free PMC article.

10

What is the optimal threshold at which to recommend breast biopsy?

Burnside ES, Chhatwal J, Alagoz O. Burnside ES, et al. PLoS One. 2012;7(11):e48820. doi: 10.1371/journal.pone.0048820. Epub 2012 Nov 7. PLoS One. 2012. PMID: 23144986 Free PMC article.

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