| --- |
| 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 8× (PSNR 31.28 dB on IXI) |
| └── cascades_4x/ |
| └── SAC_final.pth ← Best cascade 4× |
| ``` |
|
|
| ### Download |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| path = hf_hub_download(repo_id="Lexer1/VSSR", filename="cascades_8x/SAC_final.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). |
|
|
