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Sponsored by
APIMaster
MIC-DKFZ / PrimusM-OpenMind-VF
Model's Last Updated: May 07 2025
image-feature-extraction
Introduction of PrimusM-OpenMind-VF
Model Details of PrimusM-OpenMind-VF
OpenMind Benchmark 3D SSL Models
Model from the paper : An OpenMind for 3D medical vision self-supervised learning
Pre-training codebase used to create checkpoint : MIC-DKFZ/nnssl
Dataset : AnonRes/OpenMind
Downstream (segmentation) fine-tuning : TaWald/nnUNet
Overview
This repository hosts pre-trained checkpoints from the
OpenMind
benchmark:
📄
An OpenMind for 3D medical vision self-supervised learning
(Wald, T., Ulrich, C., Suprijadi, J., Ziegler, S., Nohel, M., Peretzke, R., ... & Maier-Hein, K. H. (2024).)
(
arXiv:2412.17041
) — the first extensive benchmark study for
self-supervised learning (SSL)
on
3D medical imaging
data.
Each model was pre-trained using a particular SSL method on the OpenMind Dataset , a large-scale, standardized collection of public brain MRI datasets.
These models are not recommended to be used as-is for feature extraction. Instead we recommend using the downstream fine-tuning frameworks for segmentation and classification adaptation, available in the adaptation repository . While manual download is possible, we recommend using the auto-download feature of the fine-tuning repository by providing the repository URL on Hugging Face instead of a local checkpoint path.
Model Variants
We release SSL checkpoints for two backbone architectures:
- ResEnc-L : A CNN-based encoder [ a , b ]
- Primus-M : A transformer-based encoder [ Primus paper ]
Each encoder has been pre-trained using one of the following SSL techniques:
| Method | Description |
|---|---|
| Volume Contrastive (VoCo) | Contrastive pretraining method for 3D volumes |
| VolumeFusion (VF) | Spatial volume fusion-based segmentation SSL method |
| Models Genesis (MG) | Reconstruction and denoising based pretraining method |
| Masked Autoencoders (MAE) | Default reconstruction based pretraining method |
| Spark 3D (S3D) | Sparse reconstruction based pretraining mehtod (CNN only) |
| SimMIM | Simple masked reconstruction based pretraining method (TR only) |
| SwinUNETR SSL | Rotation, Contrastive and Reconstruction based pre-training method. |
| SimCLR | Transfer of 2D Contrastive learning baseline method to 3D |
Runs of MIC-DKFZ PrimusM-OpenMind-VF on huggingface.co
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24-hour runs
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30-day runs
More Information About PrimusM-OpenMind-VF huggingface.co Model
Url of PrimusM-OpenMind-VF
PrimusM-OpenMind-VF huggingface.co Url
Provider of PrimusM-OpenMind-VF huggingface.co
Other API from MIC-DKFZ
Updated:September 24 2026
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