Update total_mr/app.json

total_mr/app.json

@@ -4,6 +4,7 @@
     "description": "<b>Description:</b><br>This model integrates TotalSegmentator MRI into the <b>KonfAI</b> inference framework to accelerate deployment in MRI/CT multimodal workflows.<br><br><b>Capabilities:</b><br>• Automatic segmentation of <b>80 major anatomical structures</b> (organs, vessels, skeleton, digestive system)<br>• Robust to <b>sequence variations</b> across scanners, contrasts, acquisition planes, and sites<br>• High-resolution input: <b>1.5 mm isotropic</b><br><br><b>Training data:</b><br>Trained on a highly diverse clinical dataset of <b>1143 scans</b> including <b>616 MRI</b> (30 scanners, 4 sites, many contrast types) and <b>527 CT</b> scans, with expert-validated manual segmentations <br><br><b>How to cite:</b><br><cite>T. Akinci D’Antonoli et al., <i>TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI</i>, Radiology, 2025.</cite>",
     "tta": 0,
     "mc_dropout": 0,
+    "models": ["M850.pt", "M851.pt"],
     "inputs": {
       "Volume": {
         "display_name": "Input Volume",