Development of Automated Detection of Radiology Reports Citing Adrenal Findings. - Jason J. Zopf; Jessica M. Langer; William W. Boonn; Woojin Kim; Hanna M. Zafar (J. Digit. Imaging, 2012)

Developing an Automated Database for Monitoring Ultrasound- and Computed Tomography-Guided Procedure Complications and Diagnostic Yield. - Jason N. Itri; Lisa P. Jones; Woojin Kim; William W. Boonn; Ana S. Kolansky; Susan Hilton; Hanna M. Zafar (J. Digit. Imaging, 2014)

Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned. - Mindy Y. Licurse; Darco Lalevic; Hanna M. Zafar; Mitchell D. Schnall; Tessa Sundaram Cook (J. Digit. Imaging, 2017)

Detailed quantitative assessment of colonic morphology at CT colonography using novel software: a feasibility and reproducibility study. - Charles N. Weber; Anna S. Lev-Toaff; Marc S. Levine; Sandra Sudarsky; Lutz Guendel; Bernhard Geiger; Hanna M. Zafar (Medical Biol. Eng. Comput., 2017)

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. - Po-Hao Chen 001; Hanna M. Zafar; Maya Galperin-Aizenberg; Tessa Sundaram Cook (J. Digit. Imaging, 2018)

Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. - Jackson M. Steinkamp; Charles Chambers; Darco Lalevic; Hanna M. Zafar; Tessa Sundaram Cook (J. Digit. Imaging, 2019)

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification. - Robert Lou; Darco Lalevic; Charles Chambers; Hanna M. Zafar; Tessa Sundaram Cook (J. Digit. Imaging, 2020)