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

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第一作者: Lyndon,Boone
第一单位: Department of Medical Biophysics, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada. Electronic address: lyndon.boone@mail.utoronto.ca.
作者单位: Department of Medical Biophysics, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada. Electronic address: lyndon.boone@mail.utoronto.ca. [1] Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada. [2] Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada. [3] Department of Medical Biophysics, Western University, London, Canada; Robarts Research Institute, Western University, London, Canada. [4] Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Imaging, University of Toronto, Toronto, Canada. [5] Department of Medical Biophysics, University of Toronto, Toronto, Canada; Rotman Research Institute, Baycrest, Toronto, Canada. [6] Department of Medical Biophysics, University of Toronto, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada. [7] Department of Medical Biophysics, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada. Electronic address: maged.goubran@utoronto.ca. [8]
DOI 10.1016/j.neuroimage.2023.120289
PMID 37495197
发布时间 2023-08-16
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