boahk/media_cyclemorph

media_cyclemorph's Issues

Problems of downloading sample data

Hi author, you provided the data download URL: https://drive.google.com/drive/folders/1S7aT_u8YVAcDdR_2Giw2--mGztygH4bd. But the sampleData folder in it is empty, there is no image data, can you please re-upload it? Thank you.

Is it possible to use one network (or shared weights) instead of GX and GY?

Hi,

Thank you for the nice work and for sharing the code for CycleMorph. I would like to incorporate the framework into our research on CT registration. But I have a question after reading the CycleMorph paper (CycleMorph: Cycle consistent unsupervised deformable image registration (Medical Image Analysis, Boah Kim et al.).

In CycleMorph, you trained 2 networks (GX and GY) for the forward and reverse paths, respectively. Is it possible to use only one network to do both forward and reverse paths (i.e. only switching the order of the source and the target)? In other words, can GX and GY share the same weights? If not, what is the difference between GX and GY after training? If I am understanding it correctly, there is no specific ordering between the source and the target (or X and Y).

Ideally, for a registration network, I would expect it to give both forward and reverse results (only by switching the order of the input image) if there is no specific ordering in the data.

Thank you so much in advance!

How to setting the data in order to run the code ( python train.py)?

Thank you @boahK.
When I type "python train.py". I faced the error (TypeError: expected str, bytes or os.PathLike object, not NoneType
), as following:

I also opened the getDatabase.py and train_option.py but don't know how to setting the data to run the code although I downloaded the dataset (https://drive.google.com/drive/folders/1S7aT_u8YVAcDdR_2Giw2--mGztygH4bd)

The data was downloaded:

Thank you @boahK .

A little question

Hi! Thank you for your perfect work. I have a confusion on the local patch fusion. Could you tell me how to do this? Thank you!

Is there the implementation of "2D Face expression image registration"

I found that this repo only contains the brain MRI project.