ai-med / quickNAT_pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

ai-med/quickNAT_pytorch Issues

Seems like a bug while training my own module...
Closed 2 years ago1
what did squeeze_and_excitation module do?
Closed 2 years ago
Out of Memory
Closed 2 years ago7
docs: information about datasets used for pretrained models
Updated 3 years ago
Question about `mri_convert`
Updated 4 years ago2
Run with new data
Updated 4 years ago1
training example
Updated 4 years ago1
'phase' not used in cm_per_epoch()
Closed 4 years ago1
Large Binaries in Repo
Updated 4 years ago
"cpu" or cpu not supported as device in settings_eval.ini
Updated 5 years ago2
"EOL while scanning string literal" for .nii file
Closed 5 years ago
Predicting input nii files?
Closed 5 years ago11
Fixed - Installing Requirements Error: squeeze_and_excite
Closed 5 years ago2
Why use PReLU in DenseBlock?
Closed 5 years ago1
Re-train the model with new data: 3 view aggregation
Closed 5 years ago1
ModuleNotFoundError: No module named 'utils'
Closed 5 years ago1
Pypi new package version release
Updated 5 years ago1
Code documentation
Closed 5 years ago1
Benchmarking Improve the score and do bugfixing
Closed 5 years ago1
I can't find pretrained model
Closed 5 years ago4
Checkpoint settings reload
Closed 6 years ago1