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Items: 1 to 20 of 26

1.

Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.

Feld SI, Woo KM, Alexandridis R, Wu Y, Liu J, Peissig P, Onitilo AA, Cox J, Page CD, Burnside ES.

AMIA Annu Symp Proc. 2018 Dec 5;2018:1253-1262. eCollection 2018.

2.

Accurate Wide Angle SAR Imaging Based on LS-CS-Residual.

Wei Z, Zhang B, Wu Y.

Sensors (Basel). 2019 Jan 25;19(3). pii: E490. doi: 10.3390/s19030490.

3.

Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age.

Feld SI, Fan J, Yuan M, Wu Y, Woo KM, Alexandridis R, Burnside ES.

AMIA Jt Summits Transl Sci Proc. 2018 May 18;2017:81-90. eCollection 2018.

4.

Quantifying predictive capability of electronic health records for the most harmful breast cancer.

Wu Y, Fan J, Peissig P, Berg R, Tafti AP, Yin J, Yuan M, Page D, Cox J, Burnside ES.

Proc SPIE Int Soc Opt Eng. 2018 Feb;10577. pii: 105770J. doi: 10.1117/12.2293954. Epub 2018 Mar 7.

5.

Inverse synthetic aperture LADAR demonstration: system structure, imaging processing, and experiment result.

Wang N, Wang R, Mo D, Li G, Zhang K, Wu Y.

Appl Opt. 2018 Jan 10;57(2):230-236. doi: 10.1364/AO.57.000230.

PMID:
29328169
6.

Structure-Leveraged Methods in Breast Cancer Risk Prediction.

Fan J, Wu Y, Yuan M, Page D, Liu J, Ong IM, Peissig P, Burnside E.

J Mach Learn Res. 2016 Dec;17. pii: 85.

7.

Linear frequency-modulated continuous-wave ladar system for synthetic aperture imaging.

Li G, Wang R, Song Z, Zhang K, Wu Y, Pan J.

Appl Opt. 2017 Apr 20;56(12):3257-3262. doi: 10.1364/AO.56.003257.

PMID:
28430240
8.

One-year anniversary: The progress of Microsystems & Nanoengineering.

Wu Y, White I, Cui T.

Microsyst Nanoeng. 2016 Jul 25;2:16046. doi: 10.1038/micronano.2016.46. eCollection 2016. No abstract available.

9.

A Utility/Cost Analysis of Breast Cancer Risk Prediction Algorithms.

Abbey CK, Wu Y, Burnside ES, Wunderlich A, Samuelson FW, Boone JM.

Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9787. pii: 97871J. Epub 2016 Mar 24.

10.

Discriminatory power of common genetic variants in personalized breast cancer diagnosis.

Wu Y, Abbey CK, Liu J, Ong I, Peissig P, Onitilo AA, Fan J, Yuan M, Burnside ES.

Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9787. pii: 978706. Epub 2016 Mar 24.

11.

A history of breast cancer and older age allow risk stratification of mammographic BI-RADS 3 ratings in the diagnostic setting.

Benndorf M, Wu Y, Burnside ES.

Clin Imaging. 2016 Mar-Apr;40(2):200-4. doi: 10.1016/j.clinimag.2015.10.011. Epub 2015 Oct 27.

12.

Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation.

Wu Y, Abbey CK, Chen X, Liu J, Page DC, Alagoz O, Peissig P, Onitilo AA, Burnside ES.

J Med Imaging (Bellingham). 2015 Oct;2(4):041005. doi: 10.1117/1.JMI.2.4.041005. Epub 2015 Aug 17.

13.

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.

Burnside ES, Liu J, Wu Y, Onitilo AA, McCarty CA, Page CD, Peissig PL, Trentham-Dietz A, Kitchner T, Fan J, Yuan M.

Acad Radiol. 2016 Jan;23(1):62-9. doi: 10.1016/j.acra.2015.09.007. Epub 2015 Oct 26.

14.

Leveraging Interaction between Genetic Variants and Mammographic Findings for Personalized Breast Cancer Diagnosis.

Liu J, Wu Y, Ong I, Page D, Peissig P, McCarty C, Onitilo AA, Burnside E.

AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:107-11. eCollection 2015.

15.

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.

Proc SPIE Int Soc Opt Eng. 2015 Feb 21;9416. pii: 941617. Epub 2015 Mar 17.

16.

Development of an online, publicly accessible naive Bayesian decision support tool for mammographic mass lesions based on the American College of Radiology (ACR) BI-RADS lexicon.

Benndorf M, Kotter E, Langer M, Herda C, Wu Y, Burnside ES.

Eur Radiol. 2015 Jun;25(6):1768-75. doi: 10.1007/s00330-014-3570-6. Epub 2015 Jan 11.

17.

ExpertBayes: Automatically refining manually built Bayesian networks.

Almeida E, Ferreira P, Vinhoza T, Dutra I, Li J, Wu Y, Burnside E.

Proc Int Conf Mach Learn Appl. 2014 Dec;2014:362-366.

18.

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

Wu Y, Rubin DL, Woods RW, Elezaby M, Burnside ES.

Cancer Inform. 2014 Oct 16;13(Suppl 3):53-62. doi: 10.4137/CIN.S14031. eCollection 2014.

19.

Pursuing optimal thresholds to recommend breast biopsy by quantifying the value of tomosynthesis.

Wu Y, Alagoz O, Vanness DJ, Trentham-Dietz A, Burnside ES.

Proc SPIE Int Soc Opt Eng. 2014 Mar 11;9037:90370U.

20.

Addressing the challenge of assessing physician-level screening performance: mammography as an example.

Burnside ES, Lin Y, Munoz del Rio A, Pickhardt PJ, Wu Y, Strigel RM, Elezaby MA, Kerr EA, Miglioretti DL.

PLoS One. 2014 Feb 21;9(2):e89418. doi: 10.1371/journal.pone.0089418. eCollection 2014.

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