| 1 Connection with Main Text J Liu, C Zhang, C McCarty, P Peissig, E Burnside, D Page | | |
| 17 Learning a New View of a Database: With J Davis, E Burnside, I Dutra, D Page, R Ramakrishnan, J Shavlik, ... Introduction to Statistical Relational Learning, 477, 2019 | | 2019 |
| A Bayesian network for mammography. E Burnside, D Rubin, R Shachter Proceedings of the AMIA Symposium, 106, 2000 | 104 | 2000 |
| A Bayesian Network to assist mammography interpretation DL Rubin, ES Burnside, R Shachter Operations Research and Health Care: A Handbook of Methods and Applications …, 2004 | 20 | 2004 |
| A collective ranking method for genome-wide association studies J Liu, E Burnside, H Vidaillet, D Page Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012 | | 2012 |
| A comprehensive methodology for determining the most informative mammographic features Y Wu, O Alagoz, MUS Ayvaci, A Munoz del Rio, DJ Vanness, R Woods, ... Journal of digital imaging 26, 941-947, 2013 | 26 | 2013 |
| A history of breast cancer and older age allow risk stratification of mammographic BI-RADS 3 ratings in the diagnostic setting M Benndorf, Y Wu, ES Burnside Clinical imaging 40 (2), 200-204, 2016 | 9 | 2016 |
| A leadership model supporting maturation of high-performance translational teams AR Brasier, SL Casey, P Hatfield, PW Kelly, WA Sweeney, M Schweizer, ... Journal of Clinical and Translational Science 7 (1), e171, 2023 | 1 | 2023 |
| A logistic regression model based on the national mammography database format to aid breast cancer diagnosis J Chhatwal, O Alagoz, MJ Lindstrom, CE Kahn Jr, KA Shaffer, ... American Journal of Roentgenology 192 (4), 1117-1127, 2009 | 100 | 2009 |
| A national study of the use of asymptomatic systemic imaging for surveillance following breast cancer treatment (AFT-01) JR Schumacher, HB Neuman, GJ Chang, BD Kozower, SB Edge, M Yu, ... Annals of surgical oncology 25, 2587-2595, 2018 | 11 | 2018 |
| A new perspective on breast cancer diagnostic guidelines to reduce overdiagnosis S Tunc, O Alagoz, E Burnside Available at SSRN 3270399, 2018 | 1 | 2018 |
| A new perspective on breast cancer diagnostic guidelines to reduce overdiagnosis S Tunç, O Alagoz, ES Burnside Production and Operations Management 31 (5), 2361-2378, 2022 | 5 | 2022 |
| A novel method to assess incompleteness of mammography reports FJ Gimenez, Y Wu, ES Burnside, DL Rubin AMIA Annual Symposium Proceedings 2014, 1758, 2014 | 8 | 2014 |
| 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 | 631 | 2021 |
| A pragmatic approach to determine components of optimal screening mammography practice ES Burnside, EA Sickles, SW Duffy JAMA 315 (18), 1951-1953, 2016 | 5 | 2016 |
| A probabilistic expert system that provides automated mammographic–histologic correlation: initial experience ES Burnside, DL Rubin, RD Shachter, RE Sohlich, EA Sickles American Journal of Roentgenology 182 (2), 481-488, 2004 | 37 | 2004 |
| A probabilistic model to support radiologists’ classification decisions in mammography practice J Zeng, F Gimenez, ES Burnside, DL Rubin, R Shachter Medical Decision Making 39 (3), 208-216, 2019 | 6 | 2019 |
| A speech-to-text interface for mammoclass RS Rocha, P Ferreira, I Dutra, R Correia, R Salvini, E Burnside 2016 IEEE 29th International Symposium on Computer-Based Medical Systems …, 2016 | 10 | 2016 |
| A tutorial on artificial intelligence techniques used for computer-aided decision support in radiology ES Burnside, CE Kahn Jr Diagnostic Imaging, 2004 | 1* | 2004 |
| A utility/cost analysis of breast cancer risk prediction algorithms CK Abbey, Y Wu, ES Burnside, A Wunderlich, FW Samuelson, JM Boone Medical Imaging 2016: Image Perception, Observer Performance, and Technology …, 2016 | 2 | 2016 |
Oguzhan AlagozProctor & Gamble Bascom Professor, University of Wisconsin-Madison在 engr.wisc.edu 的电子邮件经过验证
