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## 🚀 Feature
Adding new models to the models section.
## Motivation
Many new models have been proposed in the recent years and do not exist in the models module.
For example, the EfficientNets…
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**Describe the bug**
```
[2023-01-10T15:57:42.182Z] Running ./modules/transform_visualization.ipynb
[2023-01-10T15:57:42.182Z] Checking PEP8 compliance...
[2023-01-10T15:57:42.182Z] .*federated_le…
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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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Hi!
I have been experimenting with your model for quite some time now, specifically on medical imaging data.
I am currently working on looking into possibilities of extending your architecture s…
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Hello, thanks for your great work! Currently the publicly available pre-training weights are trained based on CT data with input channel 1. However, the downstream task of Brats21 is a 4-modal data w…
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Thanks for sharing the great AbdomenAtlas1.1 and many pretrained models.
Here are my questions about the paper.
First, I think that the performance comparison(0.895) on FLARE23 maybe not proper. Her…
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**Describe the bug**
In the [swin_unetr_btcv_segmentation_3d](https://github.com/Project-MONAI/tutorials/blob/main/3d_segmentation/swin_unetr_btcv_segmentation_3d.ipynb) there are some links to dow…
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Results of the run on 《A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers》
![image](https://github.com/matteo-bastico/MI-Seg/assets/116933100/6…
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### Description
What I expected:
```
[1] Hatamizadeh A, Tang Y, Nath V, et al. Unetr: Transformers for 3d medical image segmentation[C]//Proceedings of the IEEE/CVF winter conference on applicati…
ysl2 updated
7 months ago
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Hello,
Thank you for providing the code. I have a couple of questions regarding the results reported for the BTCV dataset (8-abdominal multi organ segmentation task):
1.) In Section 3.1 of the…