| 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, 2013 | 875 | 2013 |
| A population-based study of genes previously implicated in breast cancer C Hu, SN Hart, R Gnanaolivu, H Huang, KY Lee, J Na, C Gao, J Lilyquist, ... New England Journal of Medicine 384 (5), 440-451, 2021 | 562 | 2021 |
| 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 | 493 | 2016 |
| 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, EA Sickles, EB Mendelson, ... ACR, American College of Radiology, 2013 | 442* | 2013 |
| 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 | 408 | 2007 |
| 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 | 388 | 2009 |
| 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, 16012, 2016 | 340 | 2016 |
| ACR BI-RADSŪ Atlas, Breast imaging reporting and data system. EA Sickles American College of Radiology., 39, 2013 | 336 | 2013 |
| Toward Best Practices in Radiology Reporting CE Kahn Jr, CP Langlotz, ES Burnside, JA Carrino, DS Channin, ... Radiology 252 (3), 852-856, 2009 | 269 | 2009 |
| 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 | 262 | 2007 |
| 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 | 236 | 2010 |
| 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 | 205 | 2010 |
| 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, ... Journal of the National Cancer Institute 106 (11), dju289, 2014 | 175 | 2014 |
| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 165 | 2007 |
| 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, E Morris, E Burnside, ... Journal of medical imaging 2 (4), 041007-041007, 2015 | 162 | 2015 |
| 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 | 158 | 2010 |
| 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 | 150 | 2004 |
| 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 | 127 | 2006 |
| Circulating serum xenoestrogens and mammographic breast density BL Sprague, A Trentham-Dietz, CJ Hedman, J Wang, JDC Hemming, ... Breast Cancer Research 15, 1-8, 2013 | 126 | 2013 |
| 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 | 105 | 2009 |
Oguzhan AlagozProctor & Gamble Bascom Professor, University of Wisconsin-MadisonVerified email at engr.wisc.edu
