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README.md

@@ -29,17 +29,42 @@ All models were trained on [MIMIC-CXR-JPG v2.0.0](https://physionet.org/content/
 
 ```
 insurance_paper_weights/
-├── exp1-1/                        # Patch remove-one — MedMamba
-│   ├── patch1.pt ... patch9.pt
+├── exp0/                          # Baselines (CheXpert / MIMIC)
+│   ├── CheXpert/
+│   │   └── densenet.pt, mamba.pt, swinTF.pt
+│   └── MIMIC/
+│       └── densenet.pt, mamba.pt, swinTF.pt
 │
-├── exp1-2/                        # Patch keep/remove — DenseNet + SwinT
+├── exp0-2/                        # Random Initialization
+│   └── swinTF_random.pt
+│
+├── exp1/                          # Patch keep/remove — DenseNet
 │   ├── densenet_keep/
 │   │   └── patch1.pt ... patch9.pt
+│   └── densenet_remove/
+│       └── patch1.pt ... patch9.pt
+│
+├── exp1-1/                        # Patch keep/remove — MedMamba
+│   ├── mamba_keep/
+│   │   └── patch1.pt ... patch9.pt
+│   └── mamba_remove/
+│       └── patch1.pt ... patch9.pt
+│
+├── exp1-2/                        # Patch keep/remove — Swin Transformer
 │   ├── swinTF_keep/
 │   │   └── patch1.pt ... patch9.pt
 │   └── swinTF_remove/
 │       └── patch1.pt ... patch9.pt
 │
+├── exp2/                          # Resolution — MedMamba
+│   └── mamba_2.pt ... mamba_224.pt (8 files)
+│
+├── exp2-1/                        # Resolution — DenseNet
+│   └── densenet_2.pt ... densenet_224.pt (8 files)
+│
+├── exp2-2/                        # Resolution — Swin Transformer
+│   └── swinTF_4.pt ... swinTF_224.pt (7 files)
+│
 ├── exp3/                          # Demographics — MedMamba
 │   ├── sex.pt, age.pt, race.pt
 │   ├── sexage.pt, sexrace.pt, agerace.pt
@@ -48,7 +73,7 @@ insurance_paper_weights/
 ├── exp3-1/                        # Demographics — DenseNet
 │   └── (same 7 files)
 │
-├── exp3-2/                        # Demographics — SwinT
+├── exp3-2/                        # Demographics — Swin Transformer
 │   └── (same 7 files)
 │
 ├── exp4/                          # Frequency filtering — MedMamba
@@ -57,7 +82,7 @@ insurance_paper_weights/
 │   └── lowpass/
 │       └── 1Hz.pt, 5Hz.pt, ... 400Hz.pt
 │
-├── exp4-1/                        # Frequency filtering — SwinT
+├── exp4-1/                        # Frequency filtering — Swin Transformer
 │   ├── highpass/ └── lowpass/
 │
 └── exp4-2/                        # Frequency filtering — DenseNet
@@ -66,16 +91,18 @@ insurance_paper_weights/
 
 ## Checkpoint Table
 
-> **Note:** Exp0 (baseline full-image) and Exp1 (baseline MIMIC-only DenseNet) weights are **not yet trained** and are not included in this repository.
+> **Note:** All experiments are trained and available.
 
 | Experiment | Description | Model | Config | # Checkpoints | HF path | Available? |
 |------------|-------------|-------|--------|---------------|---------|------------|
-| **exp0** | Baseline (full image) | densenet, mamba, swinTF | — | 0 | — | **Not trained** |
-| **exp1** | Baseline MIMIC-only | densenet | — | 0 | — | **Not trained** |
-| **exp1-1** | Patch remove | MedMamba | 9 patches | 9 | `exp1-1/patch{1-9}.pt` | Yes |
-| **exp1-2** | Patch keep — DenseNet | DenseNet | 9 patches | 9 | `exp1-2/densenet_keep/patch{1-9}.pt` | Yes |
-| **exp1-2** | Patch keep — SwinT | SwinT | 9 patches | 9 | `exp1-2/swinTF_keep/patch{1-9}.pt` | Yes |
-| **exp1-2** | Patch remove — SwinT | SwinT | 9 patches | 9 | `exp1-2/swinTF_remove/patch{1-9}.pt` | Yes |
+| **exp0** | Baselines (CheXpert/MIMIC) | All 3 | — | 6 | `exp0/{dataset}/{model}.pt` | Yes |
+| **exp0-2** | Random Initialisation | SwinT | — | 1 | `exp0-2/swinTF_random.pt` | Yes |
+| **exp1** | Patch keep/remove | DenseNet | 9 patches x 2 | 18 | `exp1/densenet_{keep/remove}/patch{N}.pt` | Yes |
+| **exp1-1** | Patch keep/remove | MedMamba | 9 patches x 2 | 18 | `exp1-1/mamba_{keep/remove}/patch{N}.pt` | Yes |
+| **exp1-2** | Patch keep/remove | SwinT | 9 patches x 2 | 18 | `exp1-2/swinTF_{keep/remove}/patch{N}.pt` | Yes |
+| **exp2** | Resolution | MedMamba | 8 resolutions | 8 | `exp2/mamba_{N}.pt` | Yes |
+| **exp2-1** | Resolution | DenseNet | 8 resolutions | 8 | `exp2-1/densenet_{N}.pt` | Yes |
+| **exp2-2** | Resolution | SwinT | 7 resolutions | 7 | `exp2-2/swinTF_{N}.pt` | Yes |
 | **exp3** | Demographics (addDemo) | MedMamba | 7 demo combos | 7 | `exp3/{combo}.pt` | Yes |
 | **exp3-1** | Demographics (addDemo) | DenseNet | 7 demo combos | 7 | `exp3-1/{combo}.pt` | Yes |
 | **exp3-2** | Demographics (addDemo) | SwinT | 7 demo combos | 7 | `exp3-2/{combo}.pt` | Yes |
@@ -86,10 +113,11 @@ insurance_paper_weights/
 | **exp4-2** | Freq filtering — highpass | DenseNet | 8 frequencies | 8 | `exp4-2/highpass/{F}Hz.pt` | Yes |
 | **exp4-2** | Freq filtering — lowpass | DenseNet | 8 frequencies | 8 | `exp4-2/lowpass/{F}Hz.pt` | Yes |
 
-**Total: 105 trained checkpoints** (exp0 and exp1 not yet trained).
+**Total: 153 trained checkpoints**
 
 - **Demo combos** (exp3): `sex`, `age`, `race`, `sexage`, `sexrace`, `agerace`, `sexagerace`
 - **Frequencies** (exp4): 1, 5, 10, 25, 50, 100, 200, 400 Hz
+- **Resolutions** (exp2): 2, 4, 7, 14, 28, 56, 112, 224
 - **Patches** (exp1): 1-9, corresponding to a 3x3 grid on 448x448 images (left-to-right, top-to-bottom)
 
 ## Usage

exp0-2/swinTF_random.pt

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