Add model card

README.md

@@ -1,3 +1,87 @@
 ---
-license: cc-by-nc-sa-4.0
+license: cc-by-sa-4.0
+tags:
+  - mri
+  - medical-imaging
+  - image-reconstruction
+  - accelerated-mri
+  - pytorch
+  - monai
+library_name: pytorch
 ---
+
+# VSSR: View-Specialized Sequential Refinement for Accelerated MRI
+
+**Post-Reconstruction Volumetric Refinement for Accelerated MRI via Cross-Plane Consistency**
+
+*IEEE Engineering in Medicine and Biology Conference (EMBC) 2026 — Paper ID: 4868*
+
+Alexander Nazarov, Nahum Kiryati, Dani Roizen, Gahl Greenberg, Arnaldo Mayer
+*Tel-Aviv University & Sheba Medical Center*
+
+---
+
+## Overview
+
+VSSR is a post-reconstruction refinement framework for accelerated MRI. Three view-specialized expert networks refine the volume sequentially — one per anatomical plane (sagittal, axial, coronal) — each correcting the residual artifacts left by the previous stage.
+
+**Code & instructions:** [github.com/MR-Nazarov/VSSR](https://github.com/MR-Nazarov/VSSR)
+
+---
+
+## Model Weights
+
+```
+Lexer1/VSSR/
+├── vssr_stage1_sagittal.pth      ← RDUNet SAC cascade, Stage 1
+├── vssr_stage2_axial.pth         ← RDUNet SAC cascade, Stage 2
+├── vssr_stage3_coronal.pth       ← RDUNet SAC cascade, Stage 3 (final output)
+├── baselines/
+│   ├── sunet_sagittal_8x.pth     ← Single-view SUNet baseline
+│   ├── sunet_axial_8x.pth
+│   └── sunet_coronal_8x.pth
+└── cascades_8x/
+    └── SAC_final.pth             ← Best cascade (PSNR 31.28 dB on IXI 8×)
+```
+
+### Download
+
+```python
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download(repo_id="Lexer1/VSSR", filename="vssr_stage3_coronal.pth")
+```
+
+Or download all weights at once:
+
+```bash
+hf download Lexer1/VSSR --local-dir ./models
+```
+
+---
+
+## Training Data
+
+- **IXI dataset** — publicly available at [brain-development.org/ixi-dataset](https://brain-development.org/ixi-dataset/), 8× retrospective undersampling
+- **Sheba Medical Center** — prospectively accelerated in-house dataset (not publicly available)
+
+---
+
+## Citation
+
+```bibtex
+@inproceedings{nazarov2026vssr,
+  title     = {Post-Reconstruction Volumetric Refinement for Accelerated {MRI} via Cross-Plane Consistency},
+  author    = {Nazarov, Alexander and Kiryati, Nahum and Roizen, Dani and Greenberg, Gahl and Mayer, Arnaldo},
+  booktitle = {2026 IEEE Engineering in Medicine and Biology Conference (EMBC)},
+  year      = {2026},
+  note      = {Paper ID: 4868}
+}
+```
+
+---
+
+## License
+
+Model weights are licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
+Code is licensed under MIT — see the [GitHub repository](https://github.com/MR-Nazarov/VSSR).