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Gamble, Cooper

0009-0009-5139-4875

Mayo Clinic

From the Radiology Informatics Laboratory, Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.

Citations 2

Applying Conformal Prediction to a Deep Learning Model for Intracranial Hemorrhage Detection to Improve Trustworthiness
Gamble, Cooper U. , Faghani, Shahriar , Erickson, Bradley J. , Gamble, Cooper , Erickson, Bradley J , Faghani, Shahriar

Radiology: Artificial Intelligence | November 27, 2024 | Volume: 7 | Issue: 2 | Pages: No page available

10.1148/ryai.240032 Get It

An uncertainty-aware deep learning model developed using Mondrian conformal prediction demonstrated high performance in intracranial hemorrhage detection on noncontrast head CT volumes and high accuracy in identifying challenging cases.
Uncover This Tech Term: Uncertainty Quantification for Deep Learning
Faghani, Shahriar , Gamble, Cooper U. , Erickson, Bradley J. , Gamble, Cooper , Erickson, Bradley J , Faghani, Shahriar

Korean Journal of Radiology | March 25, 2024 | Volume: 25 | Issue: 4 | Pages: 395

10.3348/kjr.2024.0108 Get It