-
**Is your feature request related to a problem? Please describe.**
The current implementation of GlobalMutualInformationLoss can only apply Parzen windowing with bins distributed evenly between 0 and…
-
Hi! Thank you for your nice work.
I would like to train the model with my own dataset. The dataset consists of big CT data (around 370*512*512).
It's ok to train the model by sliding window mechanis…
-
This issue is for planning the integration of @EvanBeal's [contrast agnostic registration model project](https://github.com/ivadomed/multimodal-registration) into SCT's registration scripts.
### Pr…
-
## Subject of the code / test
After https://github.com/DeepRegNet/DeepReg/pull/589, we have activated some extra linting rules. However, there are still more rules not respected in the current code…
-
Hello all,
I have 2D ultra sound images, does this coed work to register 2D images, or just for 3D images?
-
## Subject of the feature
@jvhoutte suggested to add a demo using the global net predicting affine transformation. The alterntive may be to add an option and trained network in one of the existing …
-
## Subject of the issue
Hello,
I am relatively new to Deep Learning. For a student project I want to register some paired lung CT volumes without training my own model. Therefore, I wanted to use …
-
## Subject of the issue
When running the unpaired abdomen CT registration, with the provided pre-trained models (unsup, weakly or comb) the return ddfs seem to be all 0s, and no registration is app…
-
I tried to run the following code in DeepReg
```
layer = Warping(fixed_image_size=(2, 2, 2))
ddf = tf.ones((1, 2, 2, 2, 3)) * 0.5
print(layer([ddf, ddf])[0, ..., 0])
```
and got result
```
tf.…
-
**Describe the bug**
The current implementation of LNCC loss https://github.com/Project-MONAI/MONAI/blob/master/monai/losses/image_dissimilarity.py comes from DeepReg.
However, recently in DeepR…