File size: 1,787 Bytes
93d68fc b905d51 c2b8f5f b905d51 93d68fc c2b8f5f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | ---
license: mit
tags:
- medical
- mri
- pet
- brain-image-analysis
- multimodal
- alzheimer
arxiv: 2605.13059
---
# BrainAnytime Checkpoints
Finetuned checkpoints for **BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability**.
## Paper
- **Title:** BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability
- **arXiv:** [2605.13059](https://arxiv.org/abs/2605.13059)
- **PDF:** [https://arxiv.org/pdf/2605.13059](https://arxiv.org/pdf/2605.13059)
## Model Sources
- **Repository:** https://github.com/guangqianyang/BrainAnytime
- **Paper:** https://arxiv.org/abs/2605.13059
- **Demo:** https://huggingface.co/spaces/Simmonstt/BrainAnytime-Demo
## Checkpoints
| File | Task | Type |
|------|------|------|
| `CN_vs_AD_seed_0_best.pth` | CN vs AD | Classification |
| `CN_vs_MCI_seed_0_best.pth` | CN vs MCI | Classification |
| `MMSE_seed_0_best.pth` | MMSE | Regression |
| `AGE_seed_0_best.pth` | AGE | Regression |
## Usage
```python
from huggingface_hub import hf_hub_download
ckpt = hf_hub_download(
repo_id="Simmonstt/BrainAnytime",
filename="CN_vs_AD_seed_0_best.pth",
)
```
## Citation
If you use these checkpoints, please cite:
```bibtex
@misc{yang2026brainanytimeanatomyawarecrossmodalpretraining,
title={BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability},
author={Guangqian Yang and Tong Ding and Wenlong Hou and Yue Xun and Ye Du and Qian Niu and Shujun Wang},
year={2026},
eprint={2605.13059},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2605.13059},
}
```
Paper page: https://arxiv.org/abs/2605.13059
|