MedSegDiff
importedsoftware/medsegdiff
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- ImprintLab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ImprintLab/MedSegDiff
- Documentation
- unknown
- Tags
- artificial-intelligence · deep-learning · denoising-diffusion · image-segmentation · medical-imaging · segmentation
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Cooperative_Training_and_Latent_Space_Data_Augmentationimage-segmentation · medical-imaging · segmentation
[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
- federated_heimage-segmentation · medical-imaging · segmentation
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with…
- VNetimage-segmentation · medical-imaging · segmentation
Prostate MR Image Segmentation 2012
- VNet3Dimage-segmentation · medical-imaging · segmentation
Prostate MR Image Segmentation 2012
- biom3dartificial-intelligence · medical-imaging · segmentation
Easy Volumetric Segmentation with Deep Learning
- GeoLSimage-segmentation · segmentation
Adding Image-context in the Label Smoothing process via Geodesic distance
- api.github.com/repos/ImprintLab/MedSegDiffretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-09-10, 1365 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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