pfriedri/wdm-3d

[DGM4MICCAI'24] PyTorch implementation for "WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis"

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Emerging

This project helps medical imaging researchers and clinicians generate realistic 3D medical images, such as CT or MRI scans, at high resolutions. It takes existing medical imaging datasets as input and produces new, synthetic 3D image volumes that closely resemble real scans. Researchers in medical imaging can use this to create diverse datasets for training AI models or for studying rare conditions without patient data.

130 stars. No commits in the last 6 months.

Use this if you need to generate high-resolution 3D medical images (like CT or MRI scans) for research, training AI models, or augmenting your existing datasets.

Not ideal if you require conditional image synthesis or image-to-image translation between different medical modalities; for those tasks, look at the cWDM project.

medical-imaging 3D-image-synthesis radiology-research CT-scans MRI-scans
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

130

Forks

16

Language

Python

License

MIT

Last pushed

Sep 01, 2025

Commits (30d)

0

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