MRI Dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Gaussian Denoising | MRI Dataset (test) | PSNR35.41 | 20 | |
| Multi-Image Super-Resolution | 100 subjects MRI dataset Axial, Coronal & Sagittal | PSNR35.98 | 15 | |
| Multi-Image Super-Resolution | 100 subjects MRI dataset Axial & Coronal | PSNR34.97 | 15 | |
| Single-Image Super-Resolution | 100 subjects MRI dataset Axial | PSNR33.08 | 15 | |
| High-Dimension Image Analysis (3D MRI) | MRI Dataset 3D MRI 1 | Accuracy64.7 | 8 | |
| ODF field estimation | 6-session average MRI dataset (test) | FSIM (GFA)0.66 | 6 | |
| Glioma tumor growth prediction | MRI dataset 379 patients (test) | Test Loss24.1 | 3 |
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