Burnside ES - Search Results

1

A Probabilistic Model to Support Radiologists' Classification Decisions in Mammography Practice.

Zeng J, Gimenez F, Burnside ES, Rubin DL, Shachter R. Zeng J, et al. Among authors: burnside es. Med Decis Making. 2019 Apr;39(3):208-216. doi: 10.1177/0272989X19832914. Epub 2019 Feb 28. Med Decis Making. 2019. PMID: 30819048 Free PMC article.

2

A Bayesian network for mammography.

Burnside E, Rubin D, Shachter R. Burnside E, et al. Proc AMIA Symp. 2000:106-10. Proc AMIA Symp. 2000. PMID: 11079854 Free PMC article.

3

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

4

Using a Bayesian network to predict the probability and type of breast cancer represented by microcalcifications on mammography.

Burnside ES, Rubin DL, Shachter RD. Burnside ES, et al. Stud Health Technol Inform. 2004;107(Pt 1):13-7. Stud Health Technol Inform. 2004. PMID: 15360765

5

The use of batch reading to improve the performance of screening mammography.

Burnside ES, Park JM, Fine JP, Sisney GA. Burnside ES, et al. AJR Am J Roentgenol. 2005 Sep;185(3):790-6. doi: 10.2214/ajr.185.3.01850790. AJR Am J Roentgenol. 2005. PMID: 16120936

6

Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience.

Burnside ES, Rubin DL, Fine JP, Shachter RD, Sisney GA, Leung WK. Burnside ES, et al. Radiology. 2006 Sep;240(3):666-73. doi: 10.1148/radiol.2403051096. Radiology. 2006. PMID: 16926323

7

Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancy.

Burnside ES, Ochsner JE, Fowler KJ, Fine JP, Salkowski LR, Rubin DL, Sisney GA. Burnside ES, et al. Radiology. 2007 Feb;242(2):388-95. doi: 10.1148/radiol.2422052130. Radiology. 2007. PMID: 17255409

8

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.

9

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.

10

Toward best practices in radiology reporting.

Kahn CE Jr, Langlotz CP, Burnside ES, Carrino JA, Channin DS, Hovsepian DM, Rubin DL. Kahn CE Jr, et al. Among authors: burnside es. Radiology. 2009 Sep;252(3):852-6. doi: 10.1148/radiol.2523081992. Radiology. 2009. PMID: 19717755

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