In 616 MR images we segmented 50 anatomical structures covering a majority of relevant classes for most use cases. The MR images were randomly sampled from clinical routine, thus representing a real world dataset which generalizes to clinical application. The dataset contains a wide range of different pathologies, scanners, sequences and institutions. Moreover, it contains some images from IDC for further data diversity (see column "source" in meta.csv). Link to a copy of this dataset on Dropbox for much quicker download: Dropbox Link You can find a segmentation model trained on this dataset here.More details about the dataset can be found in the corresponding paper. Please cite this paper if you use the dataset. The CT images described in the paper can be found here. This dataset contains all 50 structures from the TotalSegmentator "total" task. It does not contain the structures of other TotalSegmentator MRI subtasks. This dataset was created by the department of Research and Analysis at University Hospital Basel. UPDATE: on 2025-01-21 we uploaded version 2.0.0 which increases the number of images from 298 to 616. It also contains slightly different structures.