Sennett CA - Search Results

1

Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States.

Gruszauskas NP, Drukker K, Giger ML, Chang RF, Sennett CA, Moon WK, Pesce LL. Gruszauskas NP, et al. Among authors: sennett ca. Radiology. 2009 Dec;253(3):661-71. doi: 10.1148/radiol.2533090280. Epub 2009 Oct 28. Radiology. 2009. PMID: 19864511 Free PMC article.

2

Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.

Li H, Giger ML, Yuan Y, Chen W, Horsch K, Lan L, Jamieson AR, Sennett CA, Jansen SA. Li H, et al. Among authors: sennett ca. Acad Radiol. 2008 Nov;15(11):1437-45. doi: 10.1016/j.acra.2008.05.004. Acad Radiol. 2008. PMID: 18995194 Free PMC article.

3

Automated method for improving system performance of computer-aided diagnosis in breast ultrasound.

Drukker K, Sennett CA, Giger ML. Drukker K, et al. Among authors: sennett ca. IEEE Trans Med Imaging. 2009 Jan;28(1):122-8. doi: 10.1109/TMI.2008.928178. IEEE Trans Med Imaging. 2009. PMID: 19116194

4

Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.

Yuan Y, Giger ML, Li H, Bhooshan N, Sennett CA. Yuan Y, et al. Among authors: sennett ca. Acad Radiol. 2010 Sep;17(9):1158-67. doi: 10.1016/j.acra.2010.04.015. Acad Radiol. 2010. PMID: 20692620 Free PMC article.

5

Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.

Drukker K, Sennett CA, Giger ML. Drukker K, et al. Among authors: sennett ca. Med Phys. 2014 Jan;41(1):012901. doi: 10.1118/1.4837196. Med Phys. 2014. PMID: 24387528 Free PMC article.

6

Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population.

Drukker K, Gruszauskas NP, Sennett CA, Giger ML. Drukker K, et al. Among authors: sennett ca. Radiology. 2008 Aug;248(2):392-7. doi: 10.1148/radiol.2482071778. Epub 2008 Jun 23. Radiology. 2008. PMID: 18574139 Free PMC article.

7

Performance of breast ultrasound computer-aided diagnosis: dependence on image selection.

Gruszauskas NP, Drukker K, Giger ML, Sennett CA, Pesce LL. Gruszauskas NP, et al. Among authors: sennett ca. Acad Radiol. 2008 Oct;15(10):1234-45. doi: 10.1016/j.acra.2008.04.016. Acad Radiol. 2008. PMID: 18790394 Free PMC article.

8

Correlative feature analysis on FFDM.

Yuan Y, Giger ML, Li H, Sennett C. Yuan Y, et al. Med Phys. 2008 Dec;35(12):5490-500. doi: 10.1118/1.3005641. Med Phys. 2008. PMID: 19175108 Free PMC article.

9

A dual-stage method for lesion segmentation on digital mammograms.

Yuan Y, Giger ML, Li H, Suzuki K, Sennett C. Yuan Y, et al. Med Phys. 2007 Nov;34(11):4180-93. doi: 10.1118/1.2790837. Med Phys. 2007. PMID: 18072482

10

Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets.

Li H, Giger ML, Lan L, Bancroft Brown J, MacMahon A, Mussman M, Olopade OI, Sennett C. Li H, et al. J Digit Imaging. 2012 Oct;25(5):591-8. doi: 10.1007/s10278-012-9452-z. J Digit Imaging. 2012. PMID: 22246204 Free PMC article.

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