models.json

{
  "tissue_fast": {
    "folder": "model5_gw_ae",
    "description": "⚡ our fastest tissue segmentation model that produces gray and white matter labels",
    "considerations": "min/max normalization"
  },
  "robust_tissue": {
    "folder": "robust_tissue",
    "type": "sae",
    "n_classes": 3,
    "description": "🧠 robust tissue segmentation using spatial autoencoder architecture",
    "considerations": "quantile normalization"
  },
  "subcortical": {
    "folder": "model32chan18cls",
    "description": "🪓 a robust model that can handle clinical scans and other difficult input volumes producing cortical tissue segmentation accompanied by 15 subcortical regions",
    "considerations": "quantile normalization"
  },
  "DKatlas": {
    "folder": "model24chan104cls_synth",
    "description": "🪓 segments the brain into the Desikan-Killiany Atlas with 104 labels",
    "considerations": "quantile normalization"
  },
  "aparc50": {
    "folder": "model30chan50cls",
    "description": "🧠 cortical parcellation model with 50 anatomical regions",
    "considerations": "quantile normalization (5%-95%)"
  },
  "mindgrab": {
    "folder": "mindgrab",
    "description": "🪓 skull stripping in any modality",
    "considerations": "quantile normalization"
  }
}