LNDb19

Curated release of LNDb (Lung Nodule Database) public chest CT data for research use.

Dataset viewer (Hugging Face)

The Dataset viewer loads data/train-00000-of-00001.parquet with subject_id, ct_path, nodule_mask_paths (semicolon-separated), and num_nodule_masks. Values are strings/paths only so the Hub skips NIfTI embedding that previously failed. Download .nii.gz from the Files tab.

OpenVAE / SMILE project

This dataset is published alongside the OpenVAE open-source stack for medical CT/MRI latent modeling and diffusion-style pipelines. The same public cohorts are used in our benchmarking and demo workflows.

• OpenVAE (code): github.com/KumaKuma2002/OpenVAE
• OpenVAE (pretrained VAEs on Hugging Face): huggingface.co/SMILE-project/OpenVAE

Main paper (OpenVAE / SUMI): arXiv:2604.07329 — Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling · PDF

Citation

Original data (required)

The underlying data comes from the LNDb challenge. If you use this release, please cite the original LNDb publication and follow the challenge organizers' license and attribution requirements:

@article{pedrosa2019lndb,
  title={{LNDb}: A Lung Nodule Database on Computed Tomography},
  author={Pedrosa, Jo{\~a}o and Aresta, Guilherme and Ferreira, Carlos and Rodrigues, M{\'a}rcio and Leit{\~a}o, Patr{\'\i}cia and Carvalho, Andr{\'e} Silva and Rebelo, Jo{\~a}o and Negr{\~a}o, Eduardo and Ramos, Isabel and Cunha, Ant{\'o}nio and Campilho, Aur{\'e}lio},
  journal={arXiv preprint arXiv:1911.08434},
  year={2019},
  url={https://arxiv.org/abs/1911.08434}
}

See also the LNDb challenge page: https://lndb.grand-challenge.org/.

Our work

If you find this curated release useful in your work, please also consider citing our paper:

@misc{liu2026distillingphotoncountingctroutine,
  title={Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling},
  author={Junqi Liu and Xinze Zhou and Wenxuan Li and Scott Ye and Arkadiusz Sitek and Xiaofeng Yang and Yucheng Tang and Daguang Xu and Kai Ding and Kang Wang and Yang Yang and Alan L. Yuille and Zongwei Zhou},
  year={2026},
  eprint={2604.07329},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2604.07329},
}

Related (earlier anatomy-aware contrast diffusion): arXiv:2512.07251