Attribution Localization on Brain MRI
2.42MSEEG (CF)_VAE
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| EG (CF)_VAEMethod=Integrated Gradients, Baseline=Counterfactual (VAE)2025.08 | 2.42 | 46 | 62 | |
| EG (CF)VAEGenerative Model=VAE2025.08 | 2.42 | 0.46 | 0.62 | |
| CF_VAEBaseline=Counterfactual (VAE)2025.08 | 2.45 | 45 | 61 | |
| CFVAEGenerative Model=VAE2025.08 | 2.45 | 0.45 | 0.61 | |
| EG (CF)_Dif.Method=Integrated Gradients, Baseline=Counterfactual (Diffusion)2025.08 | 2.48 | 44 | 62 | |
| EG (CF)Dif.Generative Model=Diffusion2025.08 | 2.48 | 0.44 | 0.62 | |
| CF_Dif.Baseline=Counterfactual (Diffusion)2025.08 | 2.49 | 43 | 62 | |
| CFDif.Generative Model=Diffusion2025.08 | 2.49 | 0.43 | 0.62 | |
| ZerosBaseline=Zeros2025.08 | 2.51 | 39 | 65 | |
| GIG2025.08 | 2.51 | 0.39 | 0.65 | |
| EG (n)Baseline Type=Expected Gradients with 50 random normal samples2025.08 | 2.54 | 0.37 | 0.74 | |
| EGBaseline=Expected Gradients (Standard)2025.08 | 2.59 | 35 | 75 | |
| Rand (n)Baseline Type=Random normal sample2025.08 | 2.7 | 0.28 | 0.75 | |
| CF-IG2025.08 | 2.72 | 0.31 | 0.72 | |
| UniformBaseline=Uniform2025.08 | 2.8 | 21 | 82 | |
| BlurredBaseline=Blurred2025.08 | 2.9 | 21 | 81 | |
| OnesBaseline=Ones2025.08 | 2.91 | 21 | 84 | |
| Mean (n)Baseline Type=Mean normal sample2025.08 | 2.95 | 0.18 | 0.83 | |
| LIG2025.08 | 3.09 | 0.15 | 0.84 | |
| IG22025.08 | 3.17 | 0.07 | 0.91 | |
| DIFFVAEGenerative Model=VAE2025.08 | 4.22 | 0.16 | 0.89 | |
| DIFFDif.Generative Model=Diffusion2025.08 | 4.28 | 0.14 | 0.9 |