These are zipped folders containing all models trained with nnU-Net for the journal publication: Deep Learning for Automatic Segmentation of Vestibular Schwannoma: A Retrospective Study from Multi-Centre Routine MRI The Zenodo upload contains the following files: Multi-Centre-Routine-Clinical-(MC-RC)-models.zip Models trained on the MC-RC dataset Single-Centre-Gamma-Knife-(SC-GK)-models.zip Models trained on the SC-GK dataset run_inference.sh a command line script to run inference with the models example_input_images.zip example images to test the inference To run inference, the nnU-Net python package must be installed. This can be done with the following command: pip install nnunet To run inference on images located in a folder, unzip the zipped folders and run the run_inference.sh script. At the beginning of the script, the user can choose the model, the input path and the output path.