Dear all,

I changed the baseline model to my own nnUNet model in the baseline_model Docker container. I also changed the model directory name in the process.py file and I made sure the correct version of the nnUNet repo is cloned. However, I still got "Failed: The algorithm failed on one or more cases". I wanted to debug my code locally, but I am unable to run the docker image as the provided stacked_voi_sample.mha gave the error: sitk::ERROR: Unable to determine ImageIO reader for "/input/images/stacked-3d-ct-lesion-volumes/stacked_voi_sample.mha", and I am also not able to load the file in the ITK-SNAP program itself. Would it be possible to see the logs for my submission? And does anyone know how I could fix the problem with the broken stacked_voi_sample.mha file?

All the best, Mast Robben