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ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI
Research article (NeuroImage, 2023) · cited 31× · AI/ML
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI
Summary
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI is a scholarly article[1].
Key Facts
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. Retrieved May 24, 2026, from https://4ort.xyz/entity/rood-mri-benchmarking-the-robustness-of-deep-learning-segmentation-models-to-out-of-distribution-and-corrupted-data-in-m
MLA“ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rood-mri-benchmarking-the-robustness-of-deep-learning-segmentation-models-to-out-of-distribution-and-corrupted-data-in-m.
BibTeX@misc{4ortxyz_rood-mri-benchmarking-the-robustness-of-deep-learning-segmentation-models-to-out-of-distribution-and-corrupted-data-in-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI}}, year = {2026}, url = {https://4ort.xyz/entity/rood-mri-benchmarking-the-robustness-of-deep-learning-segmentation-models-to-out-of-distribution-and-corrupted-data-in-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI — https://4ort.xyz/entity/rood-mri-benchmarking-the-robustness-of-deep-learning-segmentation-models-to-out-of-distribution-and-corrupted-data-in-m (retrieved 2026-05-24)
