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E. Burnside · SciRah

Researcher profile · Semantic Scholar

E. Burnside

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E. Burnside — researcher profile on SciRah

h-index: 40
Works: 180
Citations: 6,649

Most-cited papers

A Population-Based Study of Genes Previously Implicated in Breast Cancer
Chun-Ling Hu, S. Hart, Rohan D. Gnanaolivu, Hong-Yan Huang +56 more
2021New England Journal of Medicine695 citations Open access
Semantic Scholar
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
Hui Li, Yitan Zhu, E. Burnside, K. Drukker +12 more
2016Radiology434 citations Open access
Semantic Scholar
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
Hui Li, Yitan Zhu, E. Burnside, Erich P Huang +12 more
2016npj Breast Cancer347 citations Open access
Semantic Scholar
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
Wentian Guo, Hui Li, Yitan Zhu, L. Lan +8 more
2015Journal of Medical Imaging140 citations Open access
Semantic Scholar
Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality.
Diego F. Muñoz, A. Near, N. V. van Ravesteyn, Sandra J. Lee +15 more
2014Journal of the National Cancer Institute138 citations Open access
Semantic Scholar
Risk of Breast Cancer Among Carriers of Pathogenic Variants in Breast Cancer Predisposition Genes Varies by Polygenic Risk Score
Chi Gao, E. Polley, S. Hart, Hong-Yan Huang +38 more
2021Journal of Clinical Oncology76 citations Open access
Semantic Scholar
Heterogeneity in Women's Adherence and Its Role in Optimal Breast Cancer Screening Policies
T. Ayer, O. Alagoz, Natasha K. Stout, E. Burnside
2016Management Sciences75 citations
Semantic Scholar
Long-term Outcomes and Cost-effectiveness of Breast Cancer Screening with Digital Breast Tomosynthesis in the United States.
K. Lowry, A. Trentham-Dietz, C. Schechter, O. Alagoz +12 more
2019Journal of the National Cancer Institute72 citations Open access
Semantic Scholar
ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography
M. Elezaby, Geng Li, M. Bhargavan-Chatfield, E. Burnside +1 more
2018Radiology69 citations Open access
Semantic Scholar
The National Mammography Database: Preliminary Data.
Cindy S. Lee, M. Bhargavan-Chatfield, E. Burnside, P. Nagy +1 more
2016AJR. American journal of roentgenology63 citations
Semantic Scholar
Utility of BI-RADS Assessment Category 4 Subdivisions for Screening Breast MRI
R. Strigel, E. Burnside, M. Elezaby, A. Fowler +3 more
2017AJR. American journal of roentgenology58 citations Open access
Semantic Scholar
CT Colonography Reporting and Data System (C-RADS): Benchmark Values From a Clinical Screening Program
B. D. Pooler, David H. Kim, Vu P. Lam, E. Burnside +1 more
2014AJR. American journal of roentgenology57 citations Open access
Semantic Scholar
Using automatically extracted information from mammography reports for decision-support
S. Bozkurt, Francisco Gimenez, E. Burnside, K. H. Gülkesen +1 more
2016Journal of Biomedical Informatics51 citations Open access
Semantic Scholar
Cancer Yield and Patterns of Follow-up for BI-RADS Category 3 after Screening Mammography Recall in the National Mammography Database.
W. Berg, Jeremy M. Berg, E. Sickles, E. Burnside +3 more
2020Radiology46 citations
Semantic Scholar
Association of Patient Age With Outcomes of Current-Era, Large-Scale Screening Mammography: Analysis of Data From the National Mammography Database
Cindy S. Lee, D. Sengupta, M. Bhargavan-Chatfield, E. Sickles +2 more
2017JAMA Oncology45 citations Open access
Semantic Scholar
Screening Breast MRI Outcomes in Routine Clinical Practice: Comparison to BI-RADS Benchmarks
R. Strigel, Jennifer Rollenhagen, E. Burnside, M. Elezaby +4 more
2016Academic Radiology41 citations Open access
Semantic Scholar
Utility of Clinical Breast Exams in Detecting Local-Regional Breast Events after Breast-Conservation in Women with a Personal History of High-risk Breast Cancer
H. Neuman, J. Schumacher, A. Francescatti, T. Adesoye +8 more
2016Annals of Surgical Oncology40 citations Open access
Semantic Scholar
Optimal Policies for Reducing Unnecessary Follow-up Mammography Exams in Breast Cancer Diagnosis
O. Alagoz, J. Chhatwal, E. Burnside
2013Decision Analytics38 citations Open access
Semantic Scholar
Modeling the natural history of ductal carcinoma in situ based on population data
S. Chootipongchaivat, N. V. van Ravesteyn, Xiaoxue Li, Hui Huang +7 more
2020Breast Cancer Research37 citations Open access
Semantic Scholar
Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes
E. Sutton, Erich P Huang, K. Drukker, E. Burnside +9 more
2017European Radiology Experimental36 citations Open access
Semantic Scholar
Modeling ductal carcinoma in situ (DCIS) – an overview of CISNET model approaches
N. V. van Ravesteyn, J. J. van den Broek, Xiaoxue Li, H. Weedon-Fekjær +8 more
2018Medical decision making31 citations Open access
Semantic Scholar
Key Elements of Mammography Shared Decision-Making: a Scoping Review of the Literature
L. DuBenske, S. Schrager, M. Hitchcock, A. Kane +3 more
2018Journal of general internal medicine30 citations Open access
Semantic Scholar
Healthcare Intelligence: Turning Data into Knowledge
Hui Yang, Erhun Kundakcioglu, Jing Li, Teresa Wu +22 more
2014IEEE Intelligent Systems29 citations
Semantic Scholar
Association between Screening Mammography Recall Rate and Interval Cancers in the UK Breast Cancer Service Screening Program: A Cohort Study.
E. Burnside, D. Vulkan, R. Blanks, S. Duffy
2018Radiology27 citations Open access
Semantic Scholar
Image-Based Screening for Men at High Risk for Breast Cancer: Benefits and Drawbacks
R. Woods, L. Salkowski, M. Elezaby, E. Burnside +2 more
2019Clinical imaging26 citations Open access
Semantic Scholar
Structure-Leveraged Methods in Breast Cancer Risk Prediction
Jun Fan, Yi-Rong Wu, Ming Yuan, David Page +4 more
2016Journal of machine learning research23 citations
Semantic Scholar
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
M. Benndorf, E. Kotter, M. Langer, Christoph Herda +2 more
2015European Radiology20 citations Open access
Semantic Scholar
Age-based versus Risk-based Mammography Screening in Women 40–49 Years Old: A Cross-sectional Study
E. Burnside, A. Trentham-Dietz, Christina M. Shafer, J. Hampton +5 more
2019Radiology19 citations Open access
Semantic Scholar
Preference-Sensitive Management of Post-Mammography Decisions in Breast Cancer Diagnosis
M. Ayvaci, O. Alagoz, M. Ahsen, E. Burnside
2018Production and operations management19 citations Open access
Semantic Scholar
Interpretable models to predict Breast Cancer
Pedro Ferreira, I. Dutra, R. Salvini, E. Burnside
2016IEEE International Conference on Bioinformatics and Biomedicine17 citations Open access
Semantic Scholar
New Genetic Variants Improve Personalized Breast Cancer Diagnosis
Jie Liu, D. Page, P. Peissig, C. McCarty +3 more
2014AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science17 citations
Semantic Scholar
Core Elements of Shared Decision-making for Women Considering Breast Cancer Screening: Results of a Modified Delphi Survey
K. Croes, Nathan R. Jones, L. DuBenske, S. Schrager +3 more
2020Journal of general internal medicine16 citations Open access
Semantic Scholar
A new perspective on breast cancer diagnostic guidelines to reduce overdiagnosis
Sait Tunç, O. Alagoz, E. Burnside
2018Production and operations management16 citations Open access
Semantic Scholar
An Example of Breast Cancer Regression on Imaging
E. Burnside, A. Trentham-Dietz, F. Kelcz, J. Collins
2015Radiology Case Reports16 citations Open access
Semantic Scholar
Leveraging Expert Knowledge to Improve Machine-Learned Decision Support Systems
Finn Kuusisto, I. Dutra, M. Elezaby, E. Mendonça +2 more
2015AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science16 citations
Semantic Scholar
ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk
Lenka Stolařová, P. Kleiblová, P. Zemánková, Barbora Stastna +106 more
2023Clinical Cancer Research15 citations Open access
Semantic Scholar
Comparing CISNET Breast Cancer Incidence and Mortality Predictions to Observed Clinical Trial Results of Mammography Screening from Ages 40 to 49
J. J. van den Broek, N. V. van Ravesteyn, J. Mandelblatt, Hui Huang +12 more
2018Medical decision making15 citations Open access
Semantic Scholar
Predicting malignancy from mammography findings and image-guided core biopsies
Pedro Ferreira, Nuno A. Fonseca, I. Dutra, R. Woods +1 more
2015International Journal of Data Mining and Bioinformatics15 citations Open access
Semantic Scholar
Comparing Mammography Abnormality Features and Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy
E. Burnside, Jie Liu, Yi-Rong Wu, A. Onitilo +7 more
2015Academic Radiology15 citations Open access
Semantic Scholar
Online Support: Impact on Anxiety in Women Who Experience an Abnormal Screening Mammogram
E. Obadina, L. DuBenske, Helene McDowell, A. Atwood +4 more
2014Breast15 citations Open access
Semantic Scholar
Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms
Jie Liu, D. Page, Houssam Nassif, J. Shavlik +4 more
2013American Medical Informatics Association Annual Symposium15 citations
Semantic Scholar
Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype
Jose M. Net, G. Whitman, Elizabeth A. Morris, K. Brandt +6 more
2018Current problems in diagnostic radiology14 citations Open access
Semantic Scholar
Urinary magnesium and other elements in relation to mammographic breast density, a measure of breast cancer risk
Maria C Mora-Pinzon, A. Trentham-Dietz, R. Gangnon, Scott V. Adams +4 more
2018Nutrition and Cancer13 citations Open access
Semantic Scholar
Breast Cancer Risk Prediction Using Electronic Health Records
Yi-Rong Wu, E. Burnside, Jennifer Cox, Jun Fan +6 more
2017IEEE International Conference on Healthcare Informatics12 citations
Semantic Scholar
Proposing New RadLex Terms by Analyzing Free-Text Mammography Reports
Hakan Bulu, Dorothy A. Sippo, Janie M. Lee, E. Burnside +1 more
2018Journal of digital imaging11 citations Open access
Semantic Scholar
A history of breast cancer and older age allow risk stratification of mammographic BI-RADS 3 ratings in the diagnostic setting
M. Benndorf, Yi-Rong Wu, E. Burnside
2015Clinical imaging11 citations Open access
Semantic Scholar
Opportunities for Operations Research in Medical Decision Making
Sait Tunç, O. Alagoz, E. Burnside
2014IEEE Intelligent Systems11 citations
Semantic Scholar
Addressing the Challenge of Assessing Physician-Level Screening Performance: Mammography as an Example
E. Burnside, Yun-Zhi Lin, Alejandro Muñoz del Río, P. Pickhardt +5 more
2014PLoS ONE11 citations Open access
Semantic Scholar
Predicting invasive breast cancer versus DCIS in different age groups
Mehmet Ayvaci, O. Alagoz, J. Chhatwal, Alejandro Muñoz del Río +4 more
2014BMC Cancer11 citations Open access
Semantic Scholar
A National Study of the Use of Asymptomatic Systemic Imaging for Surveillance Following Breast Cancer Treatment
J. Schumacher, H. Neuman, G. Chang, B. Kozower +13 more
2018Annals of Surgical Oncology10 citations Open access
Semantic Scholar

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