Mema E - Search Results

1

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.

Ha R, Chang P, Mema E, Mutasa S, Karcich J, Wynn RT, Liu MZ, Jambawalikar S. Ha R, et al. Among authors: mema e. J Digit Imaging. 2019 Feb;32(1):141-147. doi: 10.1007/s10278-018-0114-7. J Digit Imaging. 2019. PMID: 30076489 Free PMC article.

2

Three-Dimensional Quantitative Validation of Breast Magnetic Resonance Imaging Background Parenchymal Enhancement Assessments.

Ha R, Mema E, Guo X, Mango V, Desperito E, Ha J, Wynn R, Zhao B. Ha R, et al. Among authors: mema e. Curr Probl Diagn Radiol. 2016 Sep-Oct;45(5):297-303. doi: 10.1067/j.cpradiol.2016.02.003. Epub 2016 Feb 8. Curr Probl Diagn Radiol. 2016. PMID: 27039221

3

Does breast MRI background parenchymal enhancement indicate metabolic activity? Qualitative and 3D quantitative computer imaging analysis.

Mema E, Mango VL, Guo X, Karcich J, Yeh R, Wynn RT, Zhao B, Ha RS. Mema E, et al. J Magn Reson Imaging. 2018 Mar;47(3):753-759. doi: 10.1002/jmri.25798. Epub 2017 Jun 24. J Magn Reson Imaging. 2018. PMID: 28646614

4

Evaluation of association between degree of background parenchymal enhancement on MRI and breast cancer subtype.

Ha R, Mango V, Al-Khalili R, Mema E, Friedlander L, Desperito E, Wynn RT. Ha R, et al. Among authors: mema e. Clin Imaging. 2018 Sep-Oct;51:307-310. doi: 10.1016/j.clinimag.2018.05.008. Epub 2018 May 5. Clin Imaging. 2018. PMID: 29945057

5

Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study.

Ha R, Mema E, Guo X, Mango V, Desperito E, Ha J, Wynn R, Zhao B. Ha R, et al. Among authors: mema e. Quant Imaging Med Surg. 2016 Apr;6(2):144-50. doi: 10.21037/qims.2016.03.03. Quant Imaging Med Surg. 2016. PMID: 27190766 Free PMC article.

6

Cystic metastatic lymph nodes in malignant melanoma: a case report.

Mema E, Cho E, Ha R, Taback B. Mema E, et al. Clin Imaging. 2017 Mar-Apr;42:158-160. doi: 10.1016/j.clinimag.2016.12.006. Epub 2016 Dec 15. Clin Imaging. 2017. PMID: 28012358

7

Breast MRI screening for average-risk women: A monte carlo simulation cost-benefit analysis.

Mango VL, Goel A, Mema E, Kwak E, Ha R. Mango VL, et al. Among authors: mema e. J Magn Reson Imaging. 2019 Jun;49(7):e216-e221. doi: 10.1002/jmri.26334. Epub 2019 Jan 11. J Magn Reson Imaging. 2019. PMID: 30632645 Free PMC article.

8

In the Setting of Negative Mammogram, Is Additional Breast Ultrasound Necessary for Evaluation of Breast Pain?

Mema E, Cho E, Ryu YK, Jadeja P, Wynn R, Taback B, Ha R. Mema E, et al. Curr Probl Diagn Radiol. 2019 Mar-Apr;48(2):117-120. doi: 10.1067/j.cpradiol.2017.12.007. Epub 2018 Jan 9. Curr Probl Diagn Radiol. 2019. PMID: 29402490

9

RAD-AID Asha Jyoti Mammogram Quality Assessment in India: Optimizing Mobile Radiology.

Mango VL, Ha R, Nguyen B, Mema E, Kobeski J, Singh T, Khandelwal N. Mango VL, et al. Among authors: mema e. J Am Coll Radiol. 2016 Jul;13(7):831-4. doi: 10.1016/j.jacr.2016.03.018. Epub 2016 May 6. J Am Coll Radiol. 2016. PMID: 27162043 No abstract available.

10

Preliminary study: Breast cancers can be well seen on 3T breast MRI with a half-dose of gadobutrol.

Melsaether AN, Kim E, Mema E, Babb J, Kim SG. Melsaether AN, et al. Among authors: mema e. Clin Imaging. 2019 Nov-Dec;58:84-89. doi: 10.1016/j.clinimag.2019.06.014. Epub 2019 Jun 27. Clin Imaging. 2019. PMID: 31279989 Free PMC article.

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