ROOD-MRI: Benchmarking the robustness of deep learning segmentation
models to out-of-distribution and corrupted data in MRI

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI

11 March 2022

Parisa Mojiri Forooshani

Stephen Strother

Sandra E. Black

Richard H. Swartz

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Papers citing "ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI"

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Title
A generalizable 3D framework and model for self-supervised learning in medical imaging Tony Xu Sepehr Hosseini Chris Anderson Anthony Rinaldi Rahul G. Krishnan Anne L. Martel Maged Goubran MedIm 120 3 0 20 Jan 2025