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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.
2022
Lyndon Boone
Mahdi Biparva
Parisa Mojiri Forooshani
Joel Ramirez
Mario Masellis
Robert Bartha
Sean Symons
Stephen C. Strother
Sandra E. Black
Chris Heyn
Anne L. Martel
Richard H. Swartz
Maged Goubran
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