{
 "id": "MedOtter/HVSMR-2.0",
 "owner": "MedOtter",
 "name": "HVSMR-2.0",
 "downloads": 812,
 "likes": 0,
 "last_modified": "2026-08-12T20:42:44.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "> Pace DF, Contreras HTM, Romanowicz J, Ghelani S, Rahaman I, Zhang Y, Gao P,\n> Jubair MI, Yeh T, Golland P, Geva T, Ghelani S, Powell AJ, Moghari MH.\n> *HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in\n> congenital heart disease.* Scientific Data 11, 721 (2024).\n> doi:[10.1038/s41597-024-03469-9](https://doi.org/10.1038/s41597-024-03469-9)\n\nIf you use the `pace_media2022` split, also cite:\n\n> Pace DF, Dalca AV, Brosch T, Geva T, Powell AJ, Weese J, Moghari MH, Golland P.\n> *Learned iterative segmentation of highly variable anatomy from limited data:\n> Applications to whole heart segmentation for congenital heart disease.*\n> Medical Image Analysis 80, 102469 (2022).",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "f98902627611298bf41ae95a68525df73ab3558b",
 "stated_evidence": "https://huggingface.co/datasets/MedOtter/HVSMR-2.0/blob/f98902627611298bf41ae95a68525df73ab3558b/README.md",
 "file_evidence": "https://huggingface.co/datasets/MedOtter/HVSMR-2.0/tree/f98902627611298bf41ae95a68525df73ab3558b",
 "card_nc": false
}