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"Technical Note: Feasibility of translating 3.0T-trained Deep-Learning ..."

Rupsa Bhattacharjee et al. (2023)

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DOI: 10.48550/ARXIV.2310.17152

access: open

type: Informal or Other Publication

metadata version: 2023-10-31

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  - journals/corr/abs-2310-17152
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  - https://dblp.org/rec/journals/corr/abs-2310-17152
Rupsa Bhattacharjee, Zehra Akkaya, Johanna Luitjens, Pan Su, Yang Yang, Valentina Pedoia, Sharmila Majumdar:
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls. CoRR abs/2310.17152 (2023)

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