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PLOS Digital Health|October 23, 2024
Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifierElizabeth A Campbell, Saurav Bose, Aaron J MasinoPlos One|March 1, 2021
Personalized prediction of early childhood asthma persistence: A machine learning approachSaurav Bose, Chén C Kenyon, Aaron J MasinoJournal of Digital Imaging|March 10, 2023
A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young ChildrenAdarsh Ghosh, Daniella Patton, Saurav Bose, et al.Journal of Digital Imaging|April 26, 2023
Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network ModelDaniella Patton, Adarsh Ghosh, Amy Farkas, et al.The British Journal of Radiology|February 21, 2023
Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept studyAdarsh Ghosh, Saurav Bose, Daniella Patton, et al.Pageof 1