nnUNetv1 model trained for ~1 month on a single A6000 GPU using 1,578 CT volumes from VerSe and TotalSegmentator. As VerSe does not label vertebrae that appear partially in the image, we crop out the inferior-most 20 pixels and superior-most 20 pixels of all VerSe scans. All volumes are resampled to 1.5mm spacing in all dimensions, reoriented to RAS+, and the mirroring training augmentation is disabled, following the strategy of TotalSegmentator. Label values are as follows: { "0": "background", "1": "C1", "10": "T3", "11": "T4", "12": "T5", "13": "T6", "14": "T7", "15": "T8", "16": "T9", "17": "T10", "18": "T11", "19": "T12", "2": "C2", "20": "L1", "21": "L2", "22": "L3", "23": "L4", "24": "L5", "3": "C3", "4": "C4", "5": "C5", "6": "C6", "7": "C7", "8": "T1", "9": "T2" }
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