Burnside ES - Search Results

1

Predicting invasive breast cancer versus DCIS in different age groups.

Ayvaci MU, Alagoz O, Chhatwal J, Munoz del Rio A, Sickles EA, Nassif H, Kerlikowske K, Burnside ES. Ayvaci MU, et al. Among authors: burnside es. BMC Cancer. 2014 Aug 11;14:584. doi: 10.1186/1471-2407-14-584. BMC Cancer. 2014. PMID: 25112586 Free PMC article.

2

Movement of a biopsy-site marker clip after completion of stereotactic directional vacuum-assisted breast biopsy: case report.

Burnside ES, Sohlich RE, Sickles EA. Burnside ES, et al. Radiology. 2001 Nov;221(2):504-7. doi: 10.1148/radiol.2212010565. Radiology. 2001. PMID: 11687696

3

Interpreting data from audits when screening and diagnostic mammography outcomes are combined.

Sohlich RE, Sickles EA, Burnside ES, Dee KE. Sohlich RE, et al. Among authors: burnside es. AJR Am J Roentgenol. 2002 Mar;178(3):681-6. doi: 10.2214/ajr.178.3.1780681. AJR Am J Roentgenol. 2002. PMID: 11856698

4

Differential value of comparison with previous examinations in diagnostic versus screening mammography.

Burnside ES, Sickles EA, Sohlich RE, Dee KE. Burnside ES, et al. AJR Am J Roentgenol. 2002 Nov;179(5):1173-7. doi: 10.2214/ajr.179.5.1791173. AJR Am J Roentgenol. 2002. PMID: 12388494

5

A probabilistic expert system that provides automated mammographic-histologic correlation: initial experience.

Burnside ES, Rubin DL, Shachter RD, Sohlich RE, Sickles EA. Burnside ES, et al. AJR Am J Roentgenol. 2004 Feb;182(2):481-8. doi: 10.2214/ajr.182.2.1820481. AJR Am J Roentgenol. 2004. PMID: 14736686

6

American College Of Radiology/Society of Breast Imaging curriculum for resident and fellow education in breast imaging.

Sickles EA, Philpotts LE, Parkinson BT, Monticciolo DL, Lvoff NM, Ikeda DM, High M, Farria D, Carlson RA, Burnside ES, Bassett LW, Allen JD, Monsees B, Lee CH, Evans P, Dershaw DD, Brenner RJ. Sickles EA, et al. Among authors: burnside es. J Am Coll Radiol. 2006 Nov;3(11):879-84. doi: 10.1016/j.jacr.2006.02.019. J Am Coll Radiol. 2006. PMID: 17412188

7

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.

8

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.

9

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.

10

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.

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