Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity. - Natalie M. Baughan; Hui Li 024; Li Lan; Chun-Wai Chan; Matthew Embury; Gary Whitman; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Towards the objective assessment of fluoroscopy systems: development of a framework to aid the design of tasks and metrics. - Juan-Pablo Cruz-Bastida; Natalie M. Baughan; Emily L. Marshall; Kayla Blunt; Kate A. Feinstein; Ingrid S. Reiser (Image Perception, Observer Performance, and Technology Assessment, 2021)

Association between DCE MRI background parenchymal enhancement and mammographic texture features. - Natalie M. Baughan; Lindsay Douglas; Maya Ballard; Esther Seoyeon Lee; Alexandra Edwards; Li Lan; Hui Li 024; Maryellen L. Giger (Computer-Aided Diagnosis, 2022)

Sequestration of imaging studies in MIDRC: a multi-institutional data commons. - Natalie M. Baughan; Heather M. Whitney; Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Michael F. McNitt-Gray; Kyle J. Myers; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2022)

Task-specific evaluation of clinical pediatric fluoroscopy systems. - Emily L. Marshall; Daniela Olivera Velarde; Natalie M. Baughan; Nikolaj Reiser; Chao Guo; Juan-Pablo Cruz-Bastida; Kate A. Feinstein; Ingrid S. Reiser (Image Perception, Observer Performance, and Technology Assessment, 2022)

Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. - Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Heather M. Whitney; Natalie M. Baughan; Kyle J. Myers; Maryellen L. Giger; Michael F. McNitt-Gray (Image Perception, Observer Performance, and Technology Assessment, 2023)