Elizabeth S. Burnside

Author

Also Known As

Burnside E, Burnside, Elizabeth, Conzen, Suzanne D., E BURNSIDE, E Burnside, E S Burnside, E. BURNSIDE, E. Burnside, E. S. Burnside, E.S. Burnside

280

Publications

8.2K

Citations

H-Index

170

Concepts

All Affiliations

University of Wisconsin–Madison Stanford University University of Wisconsin Carbone Cancer Center Highland Community College - Illinois Harvard University

About

Elizabeth S. Burnside is an author at University of Wisconsin–Madison specializing in breast cancer, radiology, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	18	30	976
2	Engineering	17	25	821
3	Health Sciences	8	8	475
4	Management	7	7	354
5	Education	2	2	61

Elizabeth S. Burnside

114

Publications

7.5K

Citations

H-Index

Page 1

	Year	Citations
A Population-Based Study of Genes Previously Implicated in Breast Cancer Chunling Hu, Steven N. Hart, Rohan Gnanaolivu, New England Journal of Medicine	2021	804
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, Elizabeth S. Burnside, Radiology	2016	465
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set Hui Li, Yitan Zhu, Elizabeth S. Burnside, npj Breast Cancer	2016	353
The ACR BI-RADS® Experience: Learning From History Elizabeth S. Burnside, Edward A. Sickles, Lawrence W. Bassett, Journal of the American College of Radiology Acr Bi-rads® ExperienceCultural HeritageHistorical ReassessmentCultural HistoryHistorical Reconstruction	2009	308
The All of Us Research Program: Data quality, utility, and diversity Andrea H. Ramirez, Lina Sulieman, David J. Schlueter, Patterns	2022	302
Differentiating Benign from Malignant Solid Breast Masses with US Strain Imaging Elizabeth S. Burnside, Timothy J. Hall, Amy M. Sommer, Radiology	2007	296
Toward Best Practices in Radiology Reporting Charles E. Kahn, Curtis P. Langlotz, Elizabeth S. Burnside, Radiology	2009	230
Use of Microcalcification Descriptors in BI-RADS 4th Edition to Stratify Risk of Malignancy Elizabeth S. Burnside, Jennifer E. Ochsner, Kathryn J. Fowler, Radiology	2007	204
Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation Turgay Ayer, Jagpreet Chhatwal, Oğuzhan Alagöz, Radiographics	2009	171
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data Wentian Guo, Hui Li, Yitan Zhu, Journal of Medical Imaging Breast OncologyCancer RegistrationTumor BiologyVariable SelectionRoc Curve	2015	152

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