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Journal of the American Medical Informatics Association : JAMIA|June 22, 2013
Investigating the link between radiologists' gaze, diagnostic decision, and image contentGeorgia Tourassi, Sophie Voisin, Vincent Paquit, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
Extracting patient demographics and personal medical information from online health forumsYang Liu, Songhua Xu, Hong-Jun Yoon, et al.Journal of the American Medical Informatics Association : JAMIA|November 29, 2015
The utility of web mining for epidemiological research: studying the association between parity and cancer riskGeorgia Tourassi, Hong-Jun Yoon, Songhua Xu, et al.Journal of Medical Imaging (Bellingham, Wash.)|March 23, 2018
Modeling sequential context effects in diagnostic interpretation of screening mammogramsFolami Alamudun, Paige Paulus, Hong-Jun Yoon, et al.Journal of the National Cancer Institute. Monographs|August 5, 2024
Machine learning and deep learning tools for the automated capture of cancer surveillance dataElizabeth Hsu, Heidi Hanson, Linda Coyle, et al.Academic Radiology|October 15, 2013
Comparative analysis of data collection methods for individualized modeling of radiologists' visual similarity judgments in mammogramsGeorgia Tourassi, Hong-Jun Yoon, Songhua Xu, et al.Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Morphological concentric layer analysis for automated detection of suspicious masses in screening mammogramsNevine Eltonsy, H Erin Rickard, Georgia Tourrasi, et al.BMC Bioinformatics|December 23, 2018
CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rulesNicolas Hengartner, Leticia Cuellar, Xiao-Cheng Wu, et al.IEEE Journal of Biomedical and Health Informatics|May 10, 2020
Knowledge Graph-Enabled Cancer Data AnalyticsS M Shamimul Hasan, Donna Rivera, Xiao-Cheng Wu, et al.Cancer Research|August 10, 2019
Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical RecordsGuergana K Savova, Ioana Danciu, Folami Alamudun, et al.Pageof 5