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Journal of Digital Imaging|November 1, 2021
Biomedical Ontologies to Guide AI Development in RadiologyRoss W Filice, Charles E KahnJournal of Digital Imaging|February 2, 2019
Integrating an Ontology of Radiology Differential Diagnosis with ICD-10-CM, RadLex, and SNOMED CTRoss W Filice, Charles E KahnJournal of the American Medical Informatics Association : JAMIA|January 10, 2019
Integrating ontologies of human diseases, phenotypes, and radiological diagnosisMichael T Finke, Ross W Filice, Charles E KahnRadiographics : a Review Publication of the Radiological Society of North America, Inc|February 9, 2023
Ontologies in the New Computational Age of Radiology: RadLex for Semantics and Interoperability in Imaging WorkflowsLeonid L Chepelev, David Kwan, Charles E Kahn, et al.Journal of the American College of Radiology : JACR|June 8, 2019
Deep-Learning Language-Modeling Approach for Automated, Personalized, and Iterative Radiology-Pathology CorrelationRoss W FiliceJournal of the American College of Radiology : JACR|September 8, 2019
Radiology-Pathology Correlation to Facilitate Peer Learning: An Overview Including Recent Artificial Intelligence MethodsRoss W FiliceRadiology. Artificial Intelligence|May 3, 2021
The Case for User-Centered Artificial Intelligence in RadiologyRoss W Filice, Raj M RatwaniJournal of Digital Imaging|May 9, 2019
Effectiveness of Deep Learning Algorithms to Determine Laterality in RadiographsRoss W Filice, Shelby K FrantzJournal of Digital Imaging|January 4, 2020
Streamlining Radiologist Workflow for Multidisciplinary Conferences: A Web-Based System to Represent RadiologyHailey H Choi, Ross W FiliceJournal of Digital Imaging|November 6, 2015
Comparison-Bot: an Automated Preliminary-Final Report Comparison SystemAmit D Kalaria, Ross W FilicePageof 14