FFR Prediction on CCTA36
33.42R^2ResNet-Linear (RL)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ResNet-Linear (RL)Model Architecture=ResNet, Evaluation Protocol=Case-wise2025.12 | 33.42 | 62.76 | |
| ResNet-MLP (RM)Model Architecture=ResNet, Evaluation Protocol=Case-wise2025.12 | 32.905 | 62.105 | |
| ResNet Inverse Conditional Diffusion (RD)Model Architecture=ResNet, Evaluation Protocol=Case-wise2025.12 | 23.305 | 70.96 | |
| CNN-MLP (CM)Model Architecture=CNN, Evaluation Protocol=Case-wise2025.12 | 21.865 | 66.82 | |
| CNN-Linear (CL)Model Architecture=CNN, Evaluation Protocol=Case-wise2025.12 | 17.68 | 60.14 | |
| CNN Inverse Conditional Diffusion (CD)Model Architecture=CNN, Evaluation Protocol=Case-wise2025.12 | -2.15 | 53.93 |