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chn123/bimcv-analysis

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The declared licence (mit) is classified as permissive.

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mit, from the tagEvidence: README.md at dbe544c
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Citation text from the card

@article{delavaya2020bimcv,
  title   = {BIMCV-COVID19+: A large annotated dataset of RX and CT images from COVID-19 patients},
  author  = {de la Iglesia Vay{\`a}, Mar{\'\i}a and Saborit, Jos{\`e} Mar{\'\i}a and Montell, Jos{\`e} Antonio and Pertusa, Antonio and Bustos, Aurelia and Cazorla, Miguel and Galant, Joaquin and Barber, Xavier and Orozco-Beltr{\`a}n, Domingo and Garc{\'\i}a-G{\`o}mez, Juan M. and Salinas, Joaqu{\'\i}n Manuel},
  journal = {Medical Image Analysis},
  volume  = {69},
  pages   = {101979},
  year    = {2021},
  doi     = {10.1016/j.media.2020.101979}
}

@article{mikhael2023sybil,
  title   = {Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography},
  author  = {Mikhael, Peter G. and Wohlwend, Jeremy and Yala, Adam and Karstens, Leslie and Xiang, Jing and Takigami, Amanda K. and others},
  journal = {Journal of Clinical Oncology},
  volume  = {41},
  number  = {12},
  pages   = {2191--2201},
  year    = {2023},
  doi     = {10.1200/JCO.22.01345}
}

@misc{agrawal2025pillar0,
  title  = {Pillar-0: A New Frontier for Radiology Foundation Models}, 
  author = {Kumar Krishna Agrawal and Longchao Liu and Long Lian and Michael Nercessian and Natalia Harguindeguy and Yufu Wu and Peter Mikhael and Gigin Lin and Lecia V. Sequist and Florian Fintelmann and Trevor Darrell and Yutong Bai and Maggie Chung and Adam Yala},
  year   = {2025},
  note   = {Preprint}
}

@misc{wang2026astrageneralizablerepo

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dataset_licence({ "id": "chn123/bimcv-analysis" })
signal: "permissive"
stated_licence: "mit"
sources: 0