Woods RW - Search Results

1

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: woods rw. Radiographics. 2010 Jan;30(1):13-22. doi: 10.1148/rg.301095057. Epub 2009 Nov 9. Radiographics. 2010. PMID: 19901087 Free PMC article.

2

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.

3

The mammographic density of a mass is a significant predictor of breast cancer.

Woods RW, Sisney GS, Salkowski LR, Shinki K, Lin Y, Burnside ES. Woods RW, et al. Radiology. 2011 Feb;258(2):417-25. doi: 10.1148/radiol.10100328. Epub 2010 Dec 21. Radiology. 2011. PMID: 21177388 Free PMC article.

4

A comprehensive methodology for determining the most informative mammographic features.

Wu Y, Alagoz O, Ayvaci MU, Munoz Del Rio A, Vanness DJ, Woods R, Burnside ES. Wu Y, et al. J Digit Imaging. 2013 Oct;26(5):941-7. doi: 10.1007/s10278-013-9588-5. J Digit Imaging. 2013. PMID: 23503987 Free PMC article.

5

Information Extraction for Clinical Data Mining: A Mammography Case Study.

Nassif H, Woods R, Burnside E, Ayvaci M, Shavlik J, Page D. Nassif H, et al. Proc IEEE Int Conf Data Min. 2009:37-42. doi: 10.1109/icdmw.2009.63. Proc IEEE Int Conf Data Min. 2009. PMID: 23765123 Free PMC article.

6

Predicting Malignancy from Mammography Findings and Surgical Biopsies.

Ferreira P, Fonseca NA, Dutra I, Woods R, Burnside E. Ferreira P, et al. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2011 Nov;2011:10.1109/BIBM.2011.71. doi: 10.1109/BIBM.2011.71. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2011. PMID: 24363962 Free PMC article.

7

Online support: Impact on anxiety in women who experience an abnormal screening mammogram.

Obadina ET, Dubenske LL, McDowell HE, Atwood AK, Mayer DK, Woods RW, Gustafson DH, Burnside ES. Obadina ET, et al. Among authors: woods rw. Breast. 2014 Dec;23(6):743-8. doi: 10.1016/j.breast.2014.08.002. Epub 2014 Sep 3. Breast. 2014. PMID: 25193424 Free PMC article. Clinical Trial.

8

Developing a comprehensive database management system for organization and evaluation of mammography datasets.

Wu Y, Rubin DL, Woods RW, Elezaby M, Burnside ES. Wu Y, et al. Among authors: woods rw. Cancer Inform. 2014 Oct 16;13(Suppl 3):53-62. doi: 10.4137/CIN.S14031. eCollection 2014. Cancer Inform. 2014. PMID: 25368510 Free PMC article.

9

Predicting malignancy from mammography findings and image-guided core biopsies.

Ferreira P, Fonseca NA, Dutra I, Woods R, Burnside E. Ferreira P, et al. Int J Data Min Bioinform. 2015;11(3):257-76. doi: 10.1504/ijdmb.2015.067319. Int J Data Min Bioinform. 2015. PMID: 26333262 Free PMC article.

10

Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls.

Salkowski LR, Elezaby M, Fowler AM, Burnside E, Woods RW, Strigel RM. Salkowski LR, et al. Among authors: woods rw. J Med Imaging (Bellingham). 2019 Jul;6(3):031403. doi: 10.1117/1.JMI.6.3.031403. Epub 2018 Dec 22. J Med Imaging (Bellingham). 2019. PMID: 30603658 Free PMC article.

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