Add arXiv paper link, model card, and citation (2605.13059)

README.md

@@ -5,5 +5,61 @@ tags:
 - 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