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Thanks for your impressive work EyeMoSt and EyeMoSt+ in MICCAI2023 and MIA 2024.
When I reproduced the work based on this code, I found that the calculated loss would be negative.
 is really interesting!
By the way, I would like to ask whether you could provide a README file for the authors?
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* remove [config/miccai2023](https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/tree/main/config/miccai2023)
TODO: continue the listing
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I have encountered an error when I wish to observe a 3D convolution cam of the model in the uniformer in the video domain
```
File "/home/mdisk3/bianzhewu/medical_repertory/miccai2023/LLD-MMRI2023/m…
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Dear author,
Thank you for your good job，I want to ask you about the training process, and how to train MedNeXt,
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```
(MedNeXt) zw@T640:~/myData/Code/study/MedNeXt$ pip install -U .
Processing /home/zw/myData/Code/study/MedNeXt
Preparing metadata (setup.py) ... done
Requirement already satisfied: torch>1.10…
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Could you please provide the train file of the model trained on the MICCAI 2022 task1 task, I see only the training and test files of the OASIS dataset, if you can provide it, I would be very grateful
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Hi @JunMa11
When i am creating the npz dataset for a new custom dataset of mine which is in PNG format - the npz file is not getting saved in the folder.
tqdm is working and no error but no fi…