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

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2022★ 2 cited

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

Lyndon Boone, Mahdi Biparva, Parisa Mojiri Forooshani +10

Deep artificial neural networks (DNNs) have moved to the forefront of medical image analysis due to their success in classification, segmentation, and detection challenges. A princ…