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**Is your feature request related to a problem? Please describe.**
Part of https://github.com/Project-MONAI/MONAI/discussions/6641 for the bundle enhancement, currently it's unclear how `bundle.Confi…
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**Describe the bug**
I am trying to reproduce the Swin UNETR. I am doing finetuning, using the code and model.pt file given at:
https://github.com/Project-MONAI/research-contributions/tree/main/Sw…
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Hi All,
Currently, we defined all the required bundle properties in 1 file: https://github.com/Project-MONAI/MONAI/blob/dev/monai/bundle/properties.py, which were collected from our MONAI Label, MO…
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**Describe the bug**
MONAI Label server is giving the following error when "brats_mri_segmentation_v0.2.1" is used for brain tumor segmentation.
**RuntimeError: Given groups=1, weight of size [16,…
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Hi!
Thanks for the great work here.
When working with class-conditioned diffusion, the available inferers don't offer an input of class_label, only a concat or crossatn based context. However the …
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Dear all, i am starting to use Auto3DSeg to develop a segmentation model for vertebrae from CT images. I am using a A100 GPU in an Azure environment.
I installed pytorch via conda and installed MO…
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**Describe the bug**
I evaluated BTCV dataset using below SwinUNETR codes and pre-trained model of 'Swin UNETR/Base' (swin_unetr.base_5000ep_f48_lr2e-4_pretrained.pt)
https://github.com/Project-MONA…
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Currently, the default preprocessing applied for the contrast-agnostic (monai) model is given in [this function](https://github.com/spinalcordtoolbox/spinalcordtoolbox/blob/master/spinalcordtoolbox/de…
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Opening this issue to discuss the results and the performances of the models trained to segment MS lesions in the spinal cord.