LiangRenjie/ORCA-3DCT

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The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-sa-4.0, from the tagEvidence: README.md at 003c035
Licence files: No licence file at the top level of the repositoryEvidence: file list at 003c035
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

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Citation text from the card

@article{liang2026orca,
  title={ORCA: ORgan-Centroid Aggregation for Training-Free 3D CT Visual Token Compression},
  author={Liang, Renjie and Xu, Zijian and Pan, Jinqian and Sun, Chengkun and Fan, Zhengkang and Li, Shawn and Qin, You and Liu, Mei and Xu, Jie},
  journal={arXiv preprint arXiv:2608.00345},
  year={2026}
}
@article{hamamci2024ctrate,
  title   = {Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography},
  author  = {Hamamci, Ibrahim Ethem and others},
  journal = {Nature Biomedical Engineering},
  year    = {2026},
  doi     = {10.1038/s41551-025-01599-y}
}
@misc{wald2025colipri,
  title  = {Comprehensive Language--Image Pre-training for 3D Medical Image Understanding},
  author = {Wald, Tassilo and Hamamci, Ibrahim Ethem and Gao, Yuan and others},
  year   = {2025},
  eprint = {2510.15042},
  archivePrefix = {arXiv}
}

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dataset_licence({ "id": "LiangRenjie/ORCA-3DCT" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0