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    AI for science· 2020

    nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

    Fabian Isensee (first author) · 2020 · published 2021

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    DOI 10.1038/s41592-020-01008-zOpenAlex W3014974815

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    Why it matters

    Established automatic configuration as a powerful, reproducible baseline for biomedical segmentation.

    Condensed from the expert lists' notes.

    The record

    First released
    2020 (from OpenAlex)
    Published
    2021
    Citations
    10,456 citations, as counted by OpenAlex (CC0)
    Named by
    the chatgpt list only
    Score
    0.413 · computed rank 350 · consensus 0.26, must-read 0, citations percentile 0.957 (2020s · science), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.