Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration
No official code found. Best implementation: multimodallearning/Lung250M-4B (45 stars, Apache-2.0, last commit 2024-01-25).
No official code found. Best implementation: multimodallearning/Lung250M-4B (45 stars, Apache-2.0, last commit 2024-01-25).
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Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
@article{falta2026lungmb,
title = {Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration},
author = {Fenja Falta and Christoph Großbröhmer and Alessa Hering and Alexander Bigalke and Mattias P. Heinrich},
year = {2026},
doi = {10.52202/075280-2392},
url = {https://doi.org/10.52202/075280-2392},
journal = {NEURIPS 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/5e5618aa07dbefafd2b001605483e3df1b2fb869)