Elizabeth Burnside M.D., MPH, M.S.
Elizabeth Burnside M.D., MPH, M.S.
Professor of Radiology, University of Wisconsin School of Medicine and Public Health
Verified email at uwhealth.org - Homepage
Title
Cited by
Cited by
Year
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
16172007
ACR BI-RADS Atlas: Breast Imaging Reporting and Data System; Mammography, Ultrasound, Magnetic Resonance Imaging, Follow-up and Outcome Monitoring, Data Dictionary
American College of Radiology, CJ D'Orsi
ACR, American College of Radiology, 2013
1517*2013
Acr bi-radsŪ mammography
EA Sickles, CJ d’Orsi, LW Bassett, CM Appleton, WA Berg, ES Burnside
ACR BI-RADSŪ atlas, breast imaging reporting and data system 5, 2013
4332013
Differentiating Benign from Malignant Solid Breast Masses with US Strain Imaging
ES Burnside, TJ Hall, AM Sommer, GK Hesley, GA Sisney, WE Svensson, ...
Radiology 245 (2), 401-410, 2007
3432007
The ACR BI-RADSŪ experience: learning from history
ES Burnside, EA Sickles, LW Bassett, DL Rubin, CH Lee, DM Ikeda, ...
Journal of the American College of Radiology 6 (12), 851-860, 2009
2422009
MR imaging radiomics signatures for predicting the risk of breast cancer recurrence as given by research versions of MammaPrint, Oncotype DX, and PAM50 gene assays
H Li, Y Zhu, ES Burnside, K Drukker, KA Hoadley, C Fan, SD Conzen, ...
Radiology 281 (2), 382-391, 2016
2182016
Use of Microcalcification Descriptors in BI-RADS 4th Edition to Stratify Risk of Malignancy
ES Burnside, JE Ochsner, KJ Fowler, JP Fine, LR Salkowski, DL Rubin, ...
Radiology 242 (2), 388-395, 2007
1992007
Toward Best Practices in Radiology Reporting
CE Kahn Jr, CP Langlotz, ES Burnside, JA Carrino, DS Channin, ...
Radiology 252 (3), 852-856, 2009
1852009
ACR BI-RADSŪ Atlas, Breast imaging reporting and data system
EA Sickles, CJ D’Orsi, LW Bassett, CM Appleton, WA Berg, ES Burnside
Reston, VA: American College of Radiology, 39-48, 2013
1612013
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
H Li, Y Zhu, ES Burnside, E Huang, K Drukker, KA Hoadley, C Fan, ...
NPJ breast cancer 2 (1), 1-10, 2016
1402016
Patient, faculty, and self-assessment of radiology resident performance: A 360-degree method of measuring professionalism and interpersonal/communication skills
J Wood, J Collins, ES Burnside, MA Albanese, PA Propeck, F Kelcz, ...
Academic radiology 11 (8), 931-939, 2004
1332004
Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation
T Ayer, J Chhatwal, O Alagoz, CE Kahn Jr, RW Woods, ES Burnside
Radiographics 30 (1), 13-22, 2010
1212010
Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience
ES Burnside, DL Rubin, JP Fine, RD Shachter, GA Sisney, WK Leung
Radiology 240 (3), 666-673, 2006
1032006
Optimal breast biopsy decision-making based on mammographic features and demographic factors
J Chhatwal, O Alagoz, ES Burnside
Operations research 58 (6), 1577-1591, 2010
972010
Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration
T Ayer, O Alagoz, J Chhatwal, JW Shavlik, CE Kahn Jr, ES Burnside
Cancer 116 (14), 3310-3321, 2010
972010
A Bayesian network for mammography.
E Burnside, D Rubin, R Shachter
Proceedings of the AMIA Symposium, 106, 2000
932000
Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality
D Munoz, AM Near, NT Van Ravesteyn, SJ Lee, CB Schechter, O Alagoz, ...
JNCI: Journal of the National Cancer Institute 106 (11), 2014
882014
Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings
ES Burnside, J Davis, J Chhatwal, O Alagoz, MJ Lindstrom, BM Geller, ...
Radiology 251 (3), 663-672, 2009
882009
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
W Guo, H Li, Y Zhu, L Lan, S Yang, K Drukker, EA Morris, ES Burnside, ...
Journal of Medical Imaging 2 (4), 041007, 2015
862015
An integrated approach to learning Bayesian networks of rules
J Davis, E Burnside, I de Castro Dutra, D Page, VS Costa
European Conference on Machine Learning, 84-95, 2005
832005
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