Karol Gotkowski

Dear @b3r-prog, Thank you for utilizing nnU-Net and for reaching out with your issue. Could you please confirm if this problem is still relevant for you? To assist you more...

Hey, Please have a look at the respective inference API [documentation](https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunetv2/inference/readme.md). Best regards, Karol

Hey, 1. Yes, you can run `nnUNetv2_predict` from the terminal. See [here](https://github.com/MIC-DKFZ/nnUNet/blob/master/documentation/how_to_use_nnunet.md#run-inference) for more information. 2. Yes, but you need to adapt the `file_ending` in the `dataset.json` of the dataset...

Hey, Q1: Please have a look at the respective inference API [documentation](https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunetv2/inference/readme.md) for predicting single files. Q2: You only need to adapt the `file_ending` in the `dataset.json `of the dataset...

Hey @b3r-prog , Thank you for your deep curiosity on this matter. However, I would appreciate it if you would try for some time to solve these two problems yourself...

Hey, Something like this is not implemented in nnU-Net. However, what you could do is to provide the weight map as another input channel to the nnU-Net during training. This...

Hey all, Is this issue still relevant? Best regards, Karol

Hey, It appears something like this is currently not supported and you would need to make quite some changes to nnU-Net to make it work. This probably needs to be...

Most likely yes, but of course only the final test set performance will show :) Do not forget to also exchange the background in the sparsely labeled data with the...

Hello @SuChenHong, Thank you for using nnU-Net and reaching out with your issue. To better understand and assist you, could you please provide more specific details about the task you...