FFR Estimation on CCTA36 (test)
5.78RMSEResNet-MLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ResNet-MLPBackbone=ResNet-50, Model Type=MLP2025.12 | 5.78 | 20.55 | |
| ResNet-LinearBackbone=ResNet-50, Model Type=Linear2025.12 | 5.785 | 20.435 | |
| Resnet50-ICDBackbone=ResNet-50, Model Type=Inverted Conditional Diffusion2025.12 | 5.855 | 22.105 | |
| CNN-MLPBackbone=CNN, Model Type=MLP2025.12 | 5.88 | 22.305 | |
| CNN-LinearBackbone=CNN, Model Type=Linear2025.12 | 6.3 | 22.86 | |
| CNN-ICDBackbone=CNN, Model Type=Inverted Conditional Diffusion2025.12 | 6.55 | 25.435 |