LUNA16

Curated release of LUNA16 public lung CT nodule analysis data for research use.

Dataset viewer (Hugging Face)

The Dataset viewer loads data/train-00000-of-00001.parquet: an index of subject_id and ct_path for each case. NIfTI is not previewed in-browser; fetch volumes via Files.

An empty root metadata.csv was removed because it broke the Hub loader; the index is rebuilt from file paths.

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

Citation

If you use this release with our OpenVAE / SUMI stack or benchmarks, cite the paper above:

@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

Please also cite the original LUNA16 publication and respect the LIDC-IDRI / LUNA usage terms for the underlying data.