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20-site LOSO: all 20 CC200 checkpoints, AUC=0.7260, 20-model ensemble

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  1. .gitattributes +1 -0
  2. __pycache__/_charts.cpython-311.pyc +3 -0
  3. __pycache__/app.cpython-311.pyc +0 -0
  4. app.py +28 -12
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  15. checkpoints/cc200_caltech.ckpt +3 -0
  16. checkpoints/cc200_cmu.ckpt +3 -0
  17. checkpoints/cc200_kki.ckpt +3 -0
  18. checkpoints/cc200_leuven_1.ckpt +3 -0
  19. checkpoints/cc200_leuven_2.ckpt +3 -0
  20. checkpoints/cc200_max_mun.ckpt +3 -0
  21. checkpoints/cc200_nyu.ckpt +3 -0
  22. checkpoints/cc200_ohsu.ckpt +3 -0
  23. checkpoints/cc200_olin.ckpt +3 -0
  24. checkpoints/cc200_pitt.ckpt +3 -0
  25. checkpoints/cc200_sbl.ckpt +3 -0
  26. checkpoints/cc200_sdsu.ckpt +3 -0
  27. checkpoints/cc200_stanford.ckpt +3 -0
  28. checkpoints/cc200_trinity.ckpt +3 -0
  29. checkpoints/cc200_ucla_1.ckpt +3 -0
  30. checkpoints/cc200_ucla_2.ckpt +3 -0
  31. checkpoints/cc200_um_1.ckpt +3 -0
  32. checkpoints/cc200_um_2.ckpt +3 -0
  33. checkpoints/cc200_usm.ckpt +3 -0
  34. checkpoints/cc200_yale.ckpt +3 -0
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@@ -27,10 +27,26 @@ _ATLAS_CFG = {
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  "net_bounds": [0, 38, 69, 99, 137, 165, 180, 200],
28
  "net_colors": ["#e63946", "#f4a261", "#457b9d", "#2dc653", "#a8dadc", "#8b5cf6", "#6b7280"],
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  "ckpts": {
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- "NYU": Path("checkpoints/nyu.ckpt"),
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- "USM": Path("checkpoints/usm.ckpt"),
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- "UCLA": Path("checkpoints/ucla.ckpt"),
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- "UM": Path("checkpoints/um.ckpt"),
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  },
35
  },
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  "aal": {
@@ -422,7 +438,7 @@ def run_gcn(file_path):
422
  <div style="font-size:0.65rem;color:#8b95a7;letter-spacing:2px;text-transform:uppercase;margin-bottom:12px;font-weight:500">Leave-One-Site-Out Ensemble</div>
423
  <table style="width:100%;border-collapse:collapse">{rows}</table>
424
  <div style="margin-top:12px;padding-top:10px;border-top:1px solid #252a35;color:#5e6675;font-size:0.76rem">
425
- LOSO AUC = 0.7872 · 529 held-out subjects · 4 institutions
426
  </div></div>"""
427
 
428
  # ── Report ──
@@ -519,11 +535,11 @@ HEADER = """
519
  <!-- Stat pills -->
520
  <div style="display:flex;gap:10px;flex-wrap:wrap">
521
  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;padding:10px 18px;text-align:center">
522
- <div style="font-size:1.35rem;font-weight:700;color:#ef4444;font-variant-numeric:tabular-nums">0.7872</div>
523
  <div style="color:#5e6675;font-size:0.62rem;text-transform:uppercase;letter-spacing:1px;margin-top:2px">LOSO AUC</div>
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  </div>
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  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;padding:10px 18px;text-align:center">
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- <div style="font-size:1.35rem;font-weight:700;color:#f4f4f5;font-variant-numeric:tabular-nums">529</div>
527
  <div style="color:#5e6675;font-size:0.62rem;text-transform:uppercase;letter-spacing:1px;margin-top:2px">Held-out subjects</div>
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  </div>
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  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;padding:10px 18px;text-align:center">
@@ -538,8 +554,8 @@ HEADER = """
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  </div>
539
 
540
  <div style="margin-top:14px;display:flex;gap:8px;flex-wrap:wrap;align-items:center">
541
- <span style="background:#2a1215;border:1px solid #ef444433;color:#ef4444;font-size:0.75rem;font-weight:600;padding:4px 10px;border-radius:20px">AUC 0.7872 cross-site</span>
542
- <span style="background:#1a1f2e;border:1px solid #457b9d44;color:#93c5fd;font-size:0.75rem;padding:4px 10px;border-radius:20px">4-model LOSO ensemble</span>
543
  <span style="background:#1a1f15;border:1px solid #22c55e33;color:#22c55e;font-size:0.75rem;padding:4px 10px;border-radius:20px">CC200 · AAL · Harvard-Oxford</span>
544
  <span style="background:#1f1a10;border:1px solid #fb923c33;color:#fb923c;font-size:0.75rem;padding:4px 10px;border-radius:20px">Qwen2.5-7B on AMD MI300X</span>
545
  <span style="background:#161922;border:1px solid #252a35;color:#8b95a7;font-size:0.75rem;padding:4px 10px;border-radius:20px">1,102 ABIDE I subjects</span>
@@ -644,7 +660,7 @@ VALIDATION = f"""
644
  <tr><td style="padding:7px 0;color:#8b95a7;border-bottom:1px solid #1e2330">BrainNetCNN (Kawahara 2017)</td><td style="padding:7px 0;text-align:right;color:#cbd5e1;border-bottom:1px solid #1e2330;font-variant-numeric:tabular-nums">0.74</td></tr>
645
  <tr><td style="padding:7px 0;color:#8b95a7;border-bottom:1px solid #1e2330">GCN + FC (Ktena 2018)</td><td style="padding:7px 0;text-align:right;color:#cbd5e1;border-bottom:1px solid #1e2330;font-variant-numeric:tabular-nums">0.70</td></tr>
646
  <tr><td style="padding:7px 0;color:#8b95a7;border-bottom:1px solid #1e2330">ABIDE site-specific SVM</td><td style="padding:7px 0;text-align:right;color:#cbd5e1;border-bottom:1px solid #1e2330;font-variant-numeric:tabular-nums">0.76</td></tr>
647
- <tr><td style="padding:7px 0;color:#f4f4f5;font-weight:600">BrainConnect-ASD (LOSO)</td><td style="padding:7px 0;text-align:right;color:#ef4444;font-weight:700;font-variant-numeric:tabular-nums">0.7872</td></tr>
648
  </table>
649
  <div style="margin-top:10px;color:#5e6675;font-size:0.74rem;line-height:1.5">
650
  All prior results use <i>same-site</i> train/test splits. Ours is cross-site — a fundamentally harder evaluation.
@@ -724,10 +740,10 @@ ARCHITECTURE = """
724
  <!-- Spec table -->
725
  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;overflow:hidden">
726
  <table style="width:100%;border-collapse:collapse;font-size:0.85rem">
727
- <tr><td style="padding:10px 16px;color:#8b95a7;width:150px;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Dataset</td><td style="padding:10px 16px;color:#cbd5e1">ABIDE I · 1,102 subjects · 17 acquisition sites</td></tr>
728
  <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Parcellation</td><td style="padding:10px 16px;color:#cbd5e1">CC200 (200 ROIs) · AAL-116 (116 ROIs) · Harvard-Oxford (111 ROIs)</td></tr>
729
  <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Model</td><td style="padding:10px 16px;color:#cbd5e1">AdversarialBrainModeNetwork · K=16 modes · hidden_dim=64</td></tr>
730
- <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Validation</td><td style="padding:10px 16px;color:#cbd5e1">LOSO AUC = <span style="color:#ef4444;font-weight:600">0.7872</span> · 529 held-out subjects · 0 confident misclassifications</td></tr>
731
  <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Interpretability</td><td style="padding:10px 16px;color:#cbd5e1">Real-time gradient saliency · 7-network aggregation · 3D brain surface</td></tr>
732
  </table>
733
  </div>
 
27
  "net_bounds": [0, 38, 69, 99, 137, 165, 180, 200],
28
  "net_colors": ["#e63946", "#f4a261", "#457b9d", "#2dc653", "#a8dadc", "#8b5cf6", "#6b7280"],
29
  "ckpts": {
30
+ "CALTECH": Path("checkpoints/cc200_caltech.ckpt"),
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+ "USM": Path("checkpoints/cc200_usm.ckpt"),
49
+ "YALE": Path("checkpoints/cc200_yale.ckpt"),
50
  },
51
  },
52
  "aal": {
 
438
  <div style="font-size:0.65rem;color:#8b95a7;letter-spacing:2px;text-transform:uppercase;margin-bottom:12px;font-weight:500">Leave-One-Site-Out Ensemble</div>
439
  <table style="width:100%;border-collapse:collapse">{rows}</table>
440
  <div style="margin-top:12px;padding-top:10px;border-top:1px solid #252a35;color:#5e6675;font-size:0.76rem">
441
+ LOSO AUC = 0.7260 · 1,102 held-out subjects · 20 acquisition sites
442
  </div></div>"""
443
 
444
  # ── Report ──
 
535
  <!-- Stat pills -->
536
  <div style="display:flex;gap:10px;flex-wrap:wrap">
537
  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;padding:10px 18px;text-align:center">
538
+ <div style="font-size:1.35rem;font-weight:700;color:#ef4444;font-variant-numeric:tabular-nums">0.7260</div>
539
  <div style="color:#5e6675;font-size:0.62rem;text-transform:uppercase;letter-spacing:1px;margin-top:2px">LOSO AUC</div>
540
  </div>
541
  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;padding:10px 18px;text-align:center">
542
+ <div style="font-size:1.35rem;font-weight:700;color:#f4f4f5;font-variant-numeric:tabular-nums">1,102</div>
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  <div style="color:#5e6675;font-size:0.62rem;text-transform:uppercase;letter-spacing:1px;margin-top:2px">Held-out subjects</div>
544
  </div>
545
  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;padding:10px 18px;text-align:center">
 
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  </div>
555
 
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  <div style="margin-top:14px;display:flex;gap:8px;flex-wrap:wrap;align-items:center">
557
+ <span style="background:#2a1215;border:1px solid #ef444433;color:#ef4444;font-size:0.75rem;font-weight:600;padding:4px 10px;border-radius:20px">AUC 0.7260 cross-site</span>
558
+ <span style="background:#1a1f2e;border:1px solid #457b9d44;color:#93c5fd;font-size:0.75rem;padding:4px 10px;border-radius:20px">20-model LOSO ensemble</span>
559
  <span style="background:#1a1f15;border:1px solid #22c55e33;color:#22c55e;font-size:0.75rem;padding:4px 10px;border-radius:20px">CC200 · AAL · Harvard-Oxford</span>
560
  <span style="background:#1f1a10;border:1px solid #fb923c33;color:#fb923c;font-size:0.75rem;padding:4px 10px;border-radius:20px">Qwen2.5-7B on AMD MI300X</span>
561
  <span style="background:#161922;border:1px solid #252a35;color:#8b95a7;font-size:0.75rem;padding:4px 10px;border-radius:20px">1,102 ABIDE I subjects</span>
 
660
  <tr><td style="padding:7px 0;color:#8b95a7;border-bottom:1px solid #1e2330">BrainNetCNN (Kawahara 2017)</td><td style="padding:7px 0;text-align:right;color:#cbd5e1;border-bottom:1px solid #1e2330;font-variant-numeric:tabular-nums">0.74</td></tr>
661
  <tr><td style="padding:7px 0;color:#8b95a7;border-bottom:1px solid #1e2330">GCN + FC (Ktena 2018)</td><td style="padding:7px 0;text-align:right;color:#cbd5e1;border-bottom:1px solid #1e2330;font-variant-numeric:tabular-nums">0.70</td></tr>
662
  <tr><td style="padding:7px 0;color:#8b95a7;border-bottom:1px solid #1e2330">ABIDE site-specific SVM</td><td style="padding:7px 0;text-align:right;color:#cbd5e1;border-bottom:1px solid #1e2330;font-variant-numeric:tabular-nums">0.76</td></tr>
663
+ <tr><td style="padding:7px 0;color:#f4f4f5;font-weight:600">BrainConnect-ASD (LOSO)</td><td style="padding:7px 0;text-align:right;color:#ef4444;font-weight:700;font-variant-numeric:tabular-nums">0.7260</td></tr>
664
  </table>
665
  <div style="margin-top:10px;color:#5e6675;font-size:0.74rem;line-height:1.5">
666
  All prior results use <i>same-site</i> train/test splits. Ours is cross-site — a fundamentally harder evaluation.
 
740
  <!-- Spec table -->
741
  <div style="background:#161922;border:1px solid #252a35;border-radius:8px;overflow:hidden">
742
  <table style="width:100%;border-collapse:collapse;font-size:0.85rem">
743
+ <tr><td style="padding:10px 16px;color:#8b95a7;width:150px;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Dataset</td><td style="padding:10px 16px;color:#cbd5e1">ABIDE I · 1,102 subjects · 20 acquisition sites</td></tr>
744
  <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Parcellation</td><td style="padding:10px 16px;color:#cbd5e1">CC200 (200 ROIs) · AAL-116 (116 ROIs) · Harvard-Oxford (111 ROIs)</td></tr>
745
  <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Model</td><td style="padding:10px 16px;color:#cbd5e1">AdversarialBrainModeNetwork · K=16 modes · hidden_dim=64</td></tr>
746
+ <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Validation</td><td style="padding:10px 16px;color:#cbd5e1">LOSO AUC = <span style="color:#ef4444;font-weight:600">0.7260</span> · 1,102 held-out subjects · 20 acquisition sites</td></tr>
747
  <tr style="border-top:1px solid #252a35"><td style="padding:10px 16px;color:#8b95a7;font-size:0.76rem;text-transform:uppercase;letter-spacing:0.5px">Interpretability</td><td style="padding:10px 16px;color:#cbd5e1">Real-time gradient saliency · 7-network aggregation · 3D brain surface</td></tr>
748
  </table>
749
  </div>
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