CONFLUX Chest CT 200,000 synthetic 3D chest CT volumes with structured abnormality and demographic labels , generated by CONFLUX. Released with the paper CONFLUX: A Latent Diffusion Model for 3D Chest CT Synthesis with RL Post Training . Paper (arXiv) • Model • Code — coming soon About CONFLUX is a conditional 3D latent generative model for chest CT: a VAE tokenizer compresses each volume into a compact 16 channel latent, a single stream rectified flow transformer generates in that latent space, and a reinforcement learning stage sharpens label faithfulness. Every volume in this release is generated from a clinical profile — 18 abnormality findings, sex, age group, and reconstruction kernel — so the cohort is fully labeled and covers realistic clinical variation. See the paper for the model, training, and evaluation. Samples 200,000 volumes Modality / region CT / chest (lung focused) Grid 216 × 176 × 200 voxels, 1.5 mm isotropic Format int16 Hounsfield units (NIfTI) Labels 18 abnormality findings + sex + age group + reconstruction kernel License CC BY NC SA 4.0 (non commercial research) Dataset structure metadata.csv columns: column description file name rel…
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