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Journal of Digital Imaging|January 12, 2022
Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow OptimizationRoss W Filice, Anouk Stein, Ian Pan, 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 Filice
Journal 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 Filice
Journal of Digital Imaging|November 1, 2021
Biomedical Ontologies to Guide AI Development in RadiologyRoss W Filice, Charles E Kahn
Journal 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 Kahn
Radiology. Artificial Intelligence|May 3, 2021
The Case for User-Centered Artificial Intelligence in RadiologyRoss W Filice, Raj M Ratwani
Journal of Digital Imaging|May 9, 2019
Effectiveness of Deep Learning Algorithms to Determine Laterality in RadiographsRoss W Filice, Shelby K Frantz
Journal of Digital Imaging|November 6, 2015
Comparison-Bot: an Automated Preliminary-Final Report Comparison SystemAmit D Kalaria, Ross W Filice
Journal of the American College of Radiology : JACR|October 9, 2020
Evaluating Artificial Intelligence Systems to Guide Purchasing DecisionsRoss W Filice, John Mongan, Marc D Kohli
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